217 citations · 687 across the 55 of their papers we have counts for
5 papers · 2 filters
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu, Kai Xu, Jun Wang +3
To enhance the cross-target and cross-scene generalization of target-driven visual navigation based on deep reinforcement learning (RL), we introduce an information-theoretic regul…
New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning
Min Liu, Zherong Pan, Kai Xu +1
We present a two-level branch-and-bound (BB) algorithm to compute the optimal gripper pose that maximizes a grasp metric in a restricted search space. Our method can take the gripp…
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu, Dinesh Manocha, Jun Wang +1
We propose improving the cross-target and cross-scene generalization of visual navigation through learning an agent that is guided by conceiving the next observations it expects to…
Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages
Zherong Pan, Min Liu, Xifeng Gao +2
We present a method to find globally optimal topology and trajectory jointly for planar linkages. Planar linkage structures can generate complex end-effector trajectories using onl…
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks
Min Liu, Zherong Pan, Kai Xu +2
We present a learning-based method for representing grasp poses of a high-DOF hand using neural networks. Due to redundancy in such high-DOF grippers, there exists a large number o…