4 citations · 14 across the 7 of their papers we have counts for
7 papers
Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System
Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis +2
We present a modular framework designed to enable a robot hand-arm system to learn how to catch flying objects, a task that requires fast, reactive, and accurately-timed robot moti…
Dexterous In-Hand Manipulation of Slender Cylindrical Objects through Deep Reinforcement Learning with Tactile Sensing
Wenbin Hu, Bidan Huang, Wang Wei Lee +3
Continuous in-hand manipulation is an important physical interaction skill, where tactile sensing provides indispensable contact information to enable dexterous manipulation of sma…
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Li Nanbo, Muhammad Ahmed Raza, Hu Wenbin +2
Learning object-centric scene representations is essential for attaining structural understanding and abstraction of complex scenes. Yet, as current approaches for unsupervised obj…
Metrics for 3D Object Pointing and Manipulation in Virtual Reality
Eleftherios Triantafyllidis, Wenbin Hu, Christopher McGreavy +1
Assessing the performance of human movements during teleoperation and virtual reality is a challenging problem, particularly in 3D space due to complex spatial settings. Despite th…
Reaching, Grasping and Re-grasping: Learning Multimode Grasping Skills
Wenbin Hu, Chuanyu Yang, Kai Yuan +1
The ability to adapt to uncertainties, recover from failures, and coordinate between hand and fingers are essential sensorimotor skills for fully autonomous robotic grasping. In th…
Learning Pregrasp Manipulation of Objects from Ungraspable Poses
Zhaole Sun, Kai Yuan, Wenbin Hu +2
In robotic grasping, objects are often occluded in ungraspable configurations such that no pregrasp pose can be found, eg large flat boxes on the table that can only be grasped fro…
Comparison Study of Nonlinear Optimization of Step Durations and Foot Placement for Dynamic Walking
Wenbin Hu, Iordanis Chatzinikolaidis, Kai Yuan +1
This paper studies bipedal locomotion as a nonlinear optimization problem based on continuous and discrete dynamics, by simultaneously optimizing the remaining step duration, the n…