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View article: City models: past, present and future prospects
City models: past, present and future prospects Open
This paper attempts to take a comprehensive look at the challenges of representing the spatio-temporal structures and dynamic processes that define a city’s overall characteristics. For the task of urban planning and urban operation, we ta…
View article: City Models: Past, Present and Future Prospects
City Models: Past, Present and Future Prospects Open
We attempt to take a comprehensive look at the challenges of representing the spatio-temporal structures and dynamic processes defining a city's overall characteristics. For the task of urban planning and urban operation, we take the stanc…
View article: Motion Analysis of Upper Limb and Hand in a Haptic Rotation Task
Motion Analysis of Upper Limb and Hand in a Haptic Rotation Task Open
Humans seem to have a bias to overshoot when rotating a rotary knob blindfolded around a specified target angle (i.e. during haptic rotation). Whereas some influence factors that strengthen or weaken such an effect are already known, the u…
View article: Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove
Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove Open
Most commercially available haptic gloves compromise the accuracy of hand-posture measurements in favor of a simpler design with fewer sensors. While inaccurate posture data is often sufficient for the task at hand in biomedical settings s…
View article: Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot
Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot Open
The advent of tactile sensors in robotics has sparked many ideas on how robots can leverage direct contact measurements of their environment interactions to improve manipulation tasks. An important line of research in this regard is grasp …
View article: Comparative analysis of motor skill acquisition in a novel bimanual task: the role of mental representation and sensorimotor feedback
Comparative analysis of motor skill acquisition in a novel bimanual task: the role of mental representation and sensorimotor feedback Open
Introduction This study investigates the multifaceted nature of motor learning in a complex bimanual task by examining the interplay between mental representation structures, biomechanics, tactile pressure, and performance. We developed a …
View article: Generating Piano Practice Policy with a Gaussian Process
Generating Piano Practice Policy with a Gaussian Process Open
A typical process of learning to play a piece on a piano consists of a progression through a series of practice units that focus on individual dimensions of the skill, the so-called practice modes. Practice modes in learning to play music …
View article: Video Diffusion Models: A Survey
Video Diffusion Models: A Survey Open
Diffusion generative models have recently become a powerful technique for creating and modifying high-quality, coherent video content. This survey provides a comprehensive overview of the critical components of diffusion models for video g…
View article: Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models
Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models Open
The lane graph is critical for applications such as autonomous driving and lane-level route planning. While previous research has focused on extracting lane-level graphs from aerial imagery using convolutional neural networks (CNNs) follow…
View article: Exploring Motor Skill Acquisition in Bimanual Coordination: Insights from Navigating a Novel Maze Task
Exploring Motor Skill Acquisition in Bimanual Coordination: Insights from Navigating a Novel Maze Task Open
In this study, we introduce a novel maze task designed to investigate naturalistic motor learning in bimanual coordination. We developed and validated an extended set of movement primitives tailored to capture the full spectrum of scenario…
View article: Face Generation and Editing With StyleGAN: A Survey
Face Generation and Editing With StyleGAN: A Survey Open
Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. The survey covers the evolution of StyleGAN, from PGGAN to StyleGAN3, and explores relevant t…
View article: Benchmarks for Physical Reasoning AI
Benchmarks for Physical Reasoning AI Open
Physical reasoning is a crucial aspect in the development of general AI systems, given that human learning starts with interacting with the physical world before progressing to more complex concepts. Although researchers have studied and a…
View article: Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot
Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot Open
The advent of tactile sensors in robotics has sparked many ideas on how robots can leverage direct contact measurements of their environment interactions to improve manipulation tasks. An important line of research in this regard is that o…
View article: Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers
Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers Open
We present a holistic grasping controller, combining free-space position control and in-contact force-control for reliable grasping given uncertain object pose estimates. Employing tactile fingertip sensors, undesired object displacement d…
View article: Shape complexity estimation using VAE
Shape complexity estimation using VAE Open
In this paper, we compare methods for estimating the complexity of two-dimensional shapes and introduce a method that exploits reconstruction loss of Variational Autoencoders with different sizes of latent vectors. Although complexity of a…
View article: Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning
Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning Open
Modularity as observed in biological systems has proven valuable for guiding classical motor theories towards good answers about action selection and execution. New challenges arise when we turn to learning: Trying to scale current computa…
View article: YOLO: You Only Look 10647 Times
YOLO: You Only Look 10647 Times Open
With this work we are explaining the "You Only Look Once" (YOLO) single-stage object detection approach as a parallel classification of 10647 fixed region proposals. We support this view by showing that each of YOLOs output pixel is attent…
View article: Stroke-based Rendering: From Heuristics to Deep Learning
Stroke-based Rendering: From Heuristics to Deep Learning Open
In the last few years, artistic image-making with deep learning models has gained a considerable amount of traction. A large number of these models operate directly in the pixel space and generate raster images. This is however not how mos…
View article: Face Generation and Editing with StyleGAN: A Survey
Face Generation and Editing with StyleGAN: A Survey Open
Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. The survey covers the evolution of StyleGAN, from PGGAN to StyleGAN3, and explores relevant t…
View article: Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing
Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing Open
This work deals with a practical everyday problem: stable object placement on flat surfaces starting from unknown initial poses. Common object-placing approaches require either complete scene specifications or extrinsic sensor measurements…
View article: Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space Open
Learn-to-Race Autonomous Racing Virtual Challenge hosted on wwwaicrowdcom platform consisted of two tracks: Single and Multi Camera. Our UniTeam team was among the final winners in the Single Camera track. The agent is required to pass the…
View article: Transfer Learning with Jukebox for Music Source Separation
Transfer Learning with Jukebox for Music Source Separation Open
In this work, we demonstrate how a publicly available, pre-trained Jukebox model can be adapted for the problem of audio source separation from a single mixed audio channel. Our neural network architecture, which is using transfer learning…
View article: From Adaptive Locomotion to Predictive Action Selection – Cognitive Control for a Six-Legged Walker
From Adaptive Locomotion to Predictive Action Selection – Cognitive Control for a Six-Legged Walker Open
Locomotion in animals provides a model for adaptive behavior as it is able to deal with various kinds of perturbations.Work in insects suggests that this evolved flexibility results from a modular architecture, which can be characterized b…
View article: Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective
Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective Open
We examine the mechanisms required to handle everyday activities from the standpoint of cognitive robotics, distinguishing activities on the basis of complexity and transparency. Task complexity (simple or complex) reflects the intrinsic n…
View article: Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks Open
Deep Reinforcement Learning techniques demonstrate advances in the domain of robotics. One of the limiting factors is a large number of interaction samples usually required for training in simulated and real-world environments. In this wor…
View article: Optimizing piano practice with a utility-based scaffold
Optimizing piano practice with a utility-based scaffold Open
A typical part of learning to play the piano is the progression through a series of practice units that focus on individual dimensions of the skill, such as hand coordination, correct posture, or correct timing. Ideally, a focus on a parti…