Model-Based Control and External Load Estimation of an Extensible Soft Robotic Arm Article Swipe
Xiaojiao Chen
,
Dehao Duanmu
,
Zheng Wang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/frobt.2020.586490
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/frobt.2020.586490
Soft robotics has widely been known for its compliant characteristics when dealing with contraction or manipulation. These soft behavior patterns provide safe and adaptive interactions, greatly relieving the complexity of active control policies. However, another promising aspect of soft robotics, which is to achieve useful information from compliant behavior, is not widely studied. This characteristic could help to reduce the dependence of sensors, gain a better knowledge of the environment, and enrich high-level control strategies. In this paper, we have developed a state-change model of a soft robotic arm, and we demonstrate how compliant behavior could be used to estimate external load based on this model. Moreover, we propose an improved version of the estimation procedure, further reducing the estimation error by compensating the influcence of pressure deadzone. Experiments of both methods are compared, displaying the potential effectiveness of applying these methods.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/frobt.2020.586490
- https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdf
- OA Status
- gold
- Cited By
- 13
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3128180318
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3128180318Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/frobt.2020.586490Digital Object Identifier
- Title
-
Model-Based Control and External Load Estimation of an Extensible Soft Robotic ArmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-29Full publication date if available
- Authors
-
Xiaojiao Chen, Dehao Duanmu, Zheng WangList of authors in order
- Landing page
-
https://doi.org/10.3389/frobt.2020.586490Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdfDirect OA link when available
- Concepts
-
Computer science, Soft robotics, Robotics, Artificial intelligence, RobotTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 5, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3128180318 |
|---|---|
| doi | https://doi.org/10.3389/frobt.2020.586490 |
| ids.doi | https://doi.org/10.3389/frobt.2020.586490 |
| ids.mag | 3128180318 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/33585572 |
| ids.openalex | https://openalex.org/W3128180318 |
| fwci | 1.01642527 |
| type | article |
| title | Model-Based Control and External Load Estimation of an Extensible Soft Robotic Arm |
| biblio.issue | |
| biblio.volume | 7 |
| biblio.last_page | 586490 |
| biblio.first_page | 586490 |
| topics[0].id | https://openalex.org/T10868 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Soft Robotics and Applications |
| topics[1].id | https://openalex.org/T10653 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.98580002784729 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2207 |
| topics[1].subfield.display_name | Control and Systems Engineering |
| topics[1].display_name | Robot Manipulation and Learning |
| topics[2].id | https://openalex.org/T10618 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9818999767303467 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2740 |
| topics[2].subfield.display_name | Pulmonary and Respiratory Medicine |
| topics[2].display_name | Aortic Disease and Treatment Approaches |
| funders[0].id | https://openalex.org/F4320326427 |
| funders[0].ror | |
| funders[0].display_name | Innovation and Technology Fund |
| is_xpac | False |
| apc_list.value | 1900 |
| apc_list.currency | USD |
| apc_list.value_usd | 1900 |
| apc_paid.value | 1900 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1900 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8508554697036743 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C2776058767 |
| concepts[1].level | 3 |
| concepts[1].score | 0.8436728715896606 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q24327151 |
| concepts[1].display_name | Soft robotics |
| concepts[2].id | https://openalex.org/C34413123 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6297000646591187 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q170978 |
| concepts[2].display_name | Robotics |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.6210070848464966 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C90509273 |
| concepts[4].level | 2 |
| concepts[4].score | 0.47432395815849304 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11012 |
| concepts[4].display_name | Robot |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8508554697036743 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/soft-robotics |
| keywords[1].score | 0.8436728715896606 |
| keywords[1].display_name | Soft robotics |
| keywords[2].id | https://openalex.org/keywords/robotics |
| keywords[2].score | 0.6297000646591187 |
| keywords[2].display_name | Robotics |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.6210070848464966 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/robot |
| keywords[4].score | 0.47432395815849304 |
| keywords[4].display_name | Robot |
| language | en |
| locations[0].id | doi:10.3389/frobt.2020.586490 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2595095599 |
| locations[0].source.issn | 2296-9144 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2296-9144 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Robotics and AI |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Robotics and AI |
| locations[0].landing_page_url | https://doi.org/10.3389/frobt.2020.586490 |
| locations[1].id | pmid:33585572 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Frontiers in robotics and AI |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/33585572 |
| locations[2].id | pmh:oai:doaj.org/article:cbac8243d9c64cf5b202bc55a1fd5e3b |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Frontiers in Robotics and AI, Vol 7 (2021) |
| locations[2].landing_page_url | https://doaj.org/article/cbac8243d9c64cf5b202bc55a1fd5e3b |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:7878371 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Front Robot AI |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/7878371 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5101740342 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5868-006X |
| authorships[0].author.display_name | Xiaojiao Chen |
| authorships[0].countries | HK |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I889458895 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China |
| authorships[0].institutions[0].id | https://openalex.org/I889458895 |
| authorships[0].institutions[0].ror | https://ror.org/02zhqgq86 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I889458895 |
| authorships[0].institutions[0].country_code | HK |
| authorships[0].institutions[0].display_name | University of Hong Kong |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xiaojiao Chen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China |
| authorships[1].author.id | https://openalex.org/A5069658999 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-9227-1945 |
| authorships[1].author.display_name | Dehao Duanmu |
| authorships[1].countries | HK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I889458895 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China |
| authorships[1].institutions[0].id | https://openalex.org/I889458895 |
| authorships[1].institutions[0].ror | https://ror.org/02zhqgq86 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I889458895 |
| authorships[1].institutions[0].country_code | HK |
| authorships[1].institutions[0].display_name | University of Hong Kong |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dehao Duanmu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China |
| authorships[2].author.id | https://openalex.org/A5069584227 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5619-9045 |
| authorships[2].author.display_name | Zheng Wang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I3045169105 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China |
| authorships[2].institutions[0].id | https://openalex.org/I3045169105 |
| authorships[2].institutions[0].ror | https://ror.org/049tv2d57 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I3045169105 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Southern University of Science and Technology |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Zheng Wang |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Model-Based Control and External Load Estimation of an Extensible Soft Robotic Arm |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10868 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Soft Robotics and Applications |
| related_works | https://openalex.org/W4233452137, https://openalex.org/W4254857216, https://openalex.org/W4231626925, https://openalex.org/W2962829499, https://openalex.org/W2767518918, https://openalex.org/W2131444840, https://openalex.org/W2414929284, https://openalex.org/W4391539200, https://openalex.org/W192849109, https://openalex.org/W2326585759 |
| cited_by_count | 13 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 5 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 3 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3389/frobt.2020.586490 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2595095599 |
| best_oa_location.source.issn | 2296-9144 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2296-9144 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Robotics and AI |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Robotics and AI |
| best_oa_location.landing_page_url | https://doi.org/10.3389/frobt.2020.586490 |
| primary_location.id | doi:10.3389/frobt.2020.586490 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2595095599 |
| primary_location.source.issn | 2296-9144 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2296-9144 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Robotics and AI |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/articles/10.3389/frobt.2020.586490/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Robotics and AI |
| primary_location.landing_page_url | https://doi.org/10.3389/frobt.2020.586490 |
| publication_date | 2021-01-29 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W6677955025, https://openalex.org/W2963352555, https://openalex.org/W2592769779, https://openalex.org/W2868042605, https://openalex.org/W3000160985, https://openalex.org/W2512635237, https://openalex.org/W2187770034, https://openalex.org/W2908901353, https://openalex.org/W2096645690, https://openalex.org/W6762821028, https://openalex.org/W2079574144, https://openalex.org/W2151968342, https://openalex.org/W2560730116, https://openalex.org/W1826399803, https://openalex.org/W2412422102, https://openalex.org/W1608215728, https://openalex.org/W1973565005, https://openalex.org/W1984187759, https://openalex.org/W2036105802, https://openalex.org/W6663750784, https://openalex.org/W2054628872, https://openalex.org/W1902605501, https://openalex.org/W2111253117, https://openalex.org/W6990729109, https://openalex.org/W2789696912, https://openalex.org/W2092685321, https://openalex.org/W3033227671, https://openalex.org/W2985440010, https://openalex.org/W2566467848, https://openalex.org/W2101667962, https://openalex.org/W2766646977, https://openalex.org/W2744345703, https://openalex.org/W3003867382, https://openalex.org/W2964507111, https://openalex.org/W2810773383, https://openalex.org/W2054427316, https://openalex.org/W2121817652, https://openalex.org/W3004065651, https://openalex.org/W2947094677 |
| referenced_works_count | 39 |
| abstract_inverted_index.a | 64, 81, 85 |
| abstract_inverted_index.In | 75 |
| abstract_inverted_index.an | 109 |
| abstract_inverted_index.be | 96 |
| abstract_inverted_index.by | 121 |
| abstract_inverted_index.is | 41, 49 |
| abstract_inverted_index.of | 29, 37, 61, 67, 84, 112, 125, 129, 138 |
| abstract_inverted_index.on | 103 |
| abstract_inverted_index.or | 14 |
| abstract_inverted_index.to | 42, 57, 98 |
| abstract_inverted_index.we | 78, 90, 107 |
| abstract_inverted_index.and | 22, 70, 89 |
| abstract_inverted_index.are | 132 |
| abstract_inverted_index.for | 6 |
| abstract_inverted_index.has | 2 |
| abstract_inverted_index.how | 92 |
| abstract_inverted_index.its | 7 |
| abstract_inverted_index.not | 50 |
| abstract_inverted_index.the | 27, 59, 68, 113, 118, 123, 135 |
| abstract_inverted_index.Soft | 0 |
| abstract_inverted_index.This | 53 |
| abstract_inverted_index.arm, | 88 |
| abstract_inverted_index.been | 4 |
| abstract_inverted_index.both | 130 |
| abstract_inverted_index.from | 46 |
| abstract_inverted_index.gain | 63 |
| abstract_inverted_index.have | 79 |
| abstract_inverted_index.help | 56 |
| abstract_inverted_index.load | 101 |
| abstract_inverted_index.safe | 21 |
| abstract_inverted_index.soft | 17, 38, 86 |
| abstract_inverted_index.this | 76, 104 |
| abstract_inverted_index.used | 97 |
| abstract_inverted_index.when | 10 |
| abstract_inverted_index.with | 12 |
| abstract_inverted_index.These | 16 |
| abstract_inverted_index.based | 102 |
| abstract_inverted_index.could | 55, 95 |
| abstract_inverted_index.error | 120 |
| abstract_inverted_index.known | 5 |
| abstract_inverted_index.model | 83 |
| abstract_inverted_index.these | 140 |
| abstract_inverted_index.which | 40 |
| abstract_inverted_index.active | 30 |
| abstract_inverted_index.aspect | 36 |
| abstract_inverted_index.better | 65 |
| abstract_inverted_index.enrich | 71 |
| abstract_inverted_index.model. | 105 |
| abstract_inverted_index.paper, | 77 |
| abstract_inverted_index.reduce | 58 |
| abstract_inverted_index.useful | 44 |
| abstract_inverted_index.widely | 3, 51 |
| abstract_inverted_index.achieve | 43 |
| abstract_inverted_index.another | 34 |
| abstract_inverted_index.control | 31, 73 |
| abstract_inverted_index.dealing | 11 |
| abstract_inverted_index.further | 116 |
| abstract_inverted_index.greatly | 25 |
| abstract_inverted_index.methods | 131 |
| abstract_inverted_index.propose | 108 |
| abstract_inverted_index.provide | 20 |
| abstract_inverted_index.robotic | 87 |
| abstract_inverted_index.version | 111 |
| abstract_inverted_index.However, | 33 |
| abstract_inverted_index.adaptive | 23 |
| abstract_inverted_index.applying | 139 |
| abstract_inverted_index.behavior | 18, 94 |
| abstract_inverted_index.estimate | 99 |
| abstract_inverted_index.external | 100 |
| abstract_inverted_index.improved | 110 |
| abstract_inverted_index.methods. | 141 |
| abstract_inverted_index.patterns | 19 |
| abstract_inverted_index.pressure | 126 |
| abstract_inverted_index.reducing | 117 |
| abstract_inverted_index.robotics | 1 |
| abstract_inverted_index.sensors, | 62 |
| abstract_inverted_index.studied. | 52 |
| abstract_inverted_index.Moreover, | 106 |
| abstract_inverted_index.behavior, | 48 |
| abstract_inverted_index.compared, | 133 |
| abstract_inverted_index.compliant | 8, 47, 93 |
| abstract_inverted_index.deadzone. | 127 |
| abstract_inverted_index.developed | 80 |
| abstract_inverted_index.knowledge | 66 |
| abstract_inverted_index.policies. | 32 |
| abstract_inverted_index.potential | 136 |
| abstract_inverted_index.promising | 35 |
| abstract_inverted_index.relieving | 26 |
| abstract_inverted_index.robotics, | 39 |
| abstract_inverted_index.complexity | 28 |
| abstract_inverted_index.dependence | 60 |
| abstract_inverted_index.displaying | 134 |
| abstract_inverted_index.estimation | 114, 119 |
| abstract_inverted_index.high-level | 72 |
| abstract_inverted_index.influcence | 124 |
| abstract_inverted_index.procedure, | 115 |
| abstract_inverted_index.Experiments | 128 |
| abstract_inverted_index.contraction | 13 |
| abstract_inverted_index.demonstrate | 91 |
| abstract_inverted_index.information | 45 |
| abstract_inverted_index.strategies. | 74 |
| abstract_inverted_index.compensating | 122 |
| abstract_inverted_index.environment, | 69 |
| abstract_inverted_index.state-change | 82 |
| abstract_inverted_index.effectiveness | 137 |
| abstract_inverted_index.interactions, | 24 |
| abstract_inverted_index.manipulation. | 15 |
| abstract_inverted_index.characteristic | 54 |
| abstract_inverted_index.characteristics | 9 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5069584227 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I3045169105 |
| citation_normalized_percentile.value | 0.71177666 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |