We solicit extended abstracts up to 4 pages (excluding references and supplementary material). Submissions can include original research, dataset or benchmark design, applications and literature reviews that bridge the research areas pertinent to this workshop. Submissions will be externally peer-reviewed by two experts and rated based on technical content and their ability to positively contribute to the workshop. All accepted contributions will be presented in interactive poster sessions. A subset of accepted contributions will be featured in the workshop as 1-minute spotlight presentations.
The following list contains some areas of interest, but work in other related areas is also welcomed:
Learning from demonstration for dexterous manipulation
Simulation for contact-rich manipulation
Reinforcement learning for dexterous manipulation
Model-based motion planning and control for dexterity
Benchmarks for dexterous manipulation
Teleoperation for dexterous hands
Human-robot hand retargeting
In-hand object manipulation
Tactile and multimodal sensing for manipulation
Soft hand design and control
Hardware design for multifingered and anthropomorphic hands
Advanced dexterous manipulation applications
Defining and categorizing dexterous skills and in-hand manipulation
Current and future high-impact applications of dexterity
State of commercial robot hands
We accept submissions in the official IEEE templates (LaTeX and Word) and encourage papers with video as supplementary content.Â
Reviews will be single-blind.
Submission is managed through OpenReview.