Move as You Say Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
Despite significant advancements in text-to-motion synthesis generating language-guided
human motion within 3D environments poses substantial challenges. These challenges …
human motion within 3D environments poses substantial challenges. These challenges …
Neural-symbolic recursive machine for systematic generalization
Despite the tremendous success, existing machine learning models still fall short of human-
like systematic generalization--learning compositional rules from limited data and applying …
like systematic generalization--learning compositional rules from limited data and applying …
A Unification Between Deep-Learning Vision, Compartmental Dynamical Thermodynamics, and Robotic Manipulation for a Circular Economy
The shift from a linear to a circular economy has the potential to simultaneously reduce
uncertainties of material supplies and waste generation. To date, the development of robotic …
uncertainties of material supplies and waste generation. To date, the development of robotic …
Unidexfpm: Universal dexterous functional pre-grasp manipulation via diffusion policy
Objects in the real world are often not naturally positioned for functional grasping, which
usually requires repositioning and reorientation before they can be grasped, a process …
usually requires repositioning and reorientation before they can be grasped, a process …
PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments
Robotic manipulation of ungraspable objects with two-finger grippers presents significant
challenges due to the paucity of graspable features, while traditional pre-grasping …
challenges due to the paucity of graspable features, while traditional pre-grasping …
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Autonomous robotic systems capable of learning novel manipulation tasks are poised to
transform industries from manufacturing to service automation. However, modern methods …
transform industries from manufacturing to service automation. However, modern methods …
[PDF][PDF] PreAfford: Affordance-based Pre-grasping across Objects and Scenes
K Ding, B Chen, R Wu, Y Li, Z Zhang, H Gao, S Li… - assets.yuyangli.com
Robotic manipulation of ungraspable objects with two-finger grippers presents significant
challenges due to the paucity of graspable features, while traditional pre-grasping …
challenges due to the paucity of graspable features, while traditional pre-grasping …