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View article: Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges Open
Roughly every decade, the ACM and IEEE professional organizations have produced recommendations for the education of undergraduate computer science students. These guidelines are used worldwide by research universities, liberal arts colleg…
View article: A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula
A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula Open
research-article Free Access Share on A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula Authors: Amruth N. Kumar Ramapo College of New Jersey Ramapo College of New JerseyView Profile , Brett A. Becker Universit…
View article: Robots in the Garden: Artificial Intelligence and Adaptive Landscapes
Robots in the Garden: Artificial Intelligence and Adaptive Landscapes Open
This paper introduces ELUA, the Ecological Laboratory for Urban Agriculture, a collaboration among landscape architects, architects and computer scientists who specialize in artificial intelligence, robotics and computer vision. ELUA has t…
View article: Adaptive Parallelization for Constraint Satisfaction Search
Adaptive Parallelization for Constraint Satisfaction Search Open
This paper introduces two adaptive paradigms that parallelize search for solutions to constraint satisfaction problems. Both are intended for any sequential solver that uses contention-oriented variable-ordering heuristics and restart stra…
View article: Hierarchical Freespace Planning for Navigation in Unfamiliar Worlds
Hierarchical Freespace Planning for Navigation in Unfamiliar Worlds Open
Autonomous navigation in a large, complex space requires a spatial model, but the construction of a detailed map is costly. This paper demonstrates how two kinds of exploration support an alternative to metric mapping, one that facilitates…
View article: Plan Explanations that Exploit a Cognitive Spatial Model
Plan Explanations that Exploit a Cognitive Spatial Model Open
Ideally, people who navigate together in a complex indoor space share a mental model that facilitates explanation. This paper reports on a robot control system whose cognitive world model is based on spatial affordances that generalize ove…
View article: Deliberate Exploration Supports Navigation in Unfamiliar Worlds
Deliberate Exploration Supports Navigation in Unfamiliar Worlds Open
To perform tasks well in a new domain, one must first know something about it. This paper reports on a robot controller for navigation through unfamiliar indoor worlds. Based on spatial affordances, it integrates planning with reactive heu…
View article: Planning and Explanations with a Learned Spatial Model
Planning and Explanations with a Learned Spatial Model Open
This paper reports on a robot controller that learns and applies a cognitively-based spatial model as it travels in challenging, real-world indoor spaces. The model not only describes indoor space, but also supports robust, model-based pla…
View article: MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation
MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation Open
While effective navigation in large, crowded environments is essential for an autonomous robot, preliminary testing of algorithms to support it requires simulation across a broad range of crowd scenarios. Most available simulation tools pr…
View article: Metacognition for a Common Model of Cognition
Metacognition for a Common Model of Cognition Open
This paper provides a starting point for the development of metacognition in a common model of cognition. It identifies significant theoretical work on metacognition from multiple disciplines that the authors believe worthy of consideratio…
View article: Toward Crowd-Sensitive Path Planning
Toward Crowd-Sensitive Path Planning Open
If a robot can predict crowds in parts of its environment that are inaccessible to its sensors, then it can plan to avoid them. This paper proposes a fast, online algorithm that learns average crowd densities in different areas. It also de…
View article: WHY: Natural Explanations from a Robot Navigator
WHY: Natural Explanations from a Robot Navigator Open
Effective collaboration between a robot and a person requires natural communication. When a robot travels with a human companion, the robot should be able to explain its navigation behavior in natural language. This paper explains how a co…