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[HTML][HTML] Human-like dexterous manipulation for anthropomorphic five-fingered hands: A review
Y Huang, D Fan, H Duan, D Yan, W Qi, J Sun… - Biomimetic Intelligence …, 2025 - Elsevier
Humans excel at dexterous manipulation; however, achieving human-level dexterity
remains a significant challenge for robots. Technological breakthroughs in the design of …
remains a significant challenge for robots. Technological breakthroughs in the design of …
An economic framework for 6-dof grasp detection
Robotic gras** in clutters is a fundamental task in robotic manipulation. In this work, we
propose an economic framework for 6-DoF grasp detection, aiming to economize the …
propose an economic framework for 6-DoF grasp detection, aiming to economize the …
Task-oriented tool manipulation with robotic dexterous hands: A knowledge graph approach from fingers to functionality
A primary challenge in robotic tool use is achieving precise manipulation with dexterous
robotic hands to mimic human actions. It requires understanding human tool use and …
robotic hands to mimic human actions. It requires understanding human tool use and …
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation
Skill-Based Edge-Brain Smart Manufacturing: A Case of Grasp Pose Selection Skill
S Lee, B Jang, S Hyeon, S Lee, J Lee - Procedia Computer Science, 2025 - Elsevier
The edge-brain framework (EBF) is a S/W framework that allows manufacturers to easily
integrate AI-empowered robot work skills into a legacy production system in an edge …
integrate AI-empowered robot work skills into a legacy production system in an edge …
GeoMatch++: Morphology Conditioned Geometry Matching for Multi-Embodiment Gras**
Y Wei, M Attarian, I Gilitschenski - ar**, current methods focus on single
grippers and unseen objects, and even the ones that explore cross-embodiment, often fail to …
grippers and unseen objects, and even the ones that explore cross-embodiment, often fail to …