69 citations · 335 across the 44 of their papers we have counts for
5 papers · 1 filter
A Configuration-Space Decomposition Scheme for Learning-based Collision Checking
Yiheng Han, Wang Zhao, Jia Pan +3
Motion planning for robots of high degrees-of-freedom (DOFs) is an important problem in robotics with sampling-based methods in configuration space C as one popular solution. Recen…
Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning
Hao Li, Bowen Weng, Abhishek Gupta +2
Finding feasible and collision-free paths for multiple nonlinear agents is challenging in the decentralized scenarios due to limited available information of other agents and compl…
Learning Resilient Behaviors for Navigation Under Uncertainty
Tingxiang Fan, Pinxin Long, Wenxi Liu +3
Deep reinforcement learning has great potential to acquire complex, adaptive behaviors for autonomous agents automatically. However, the underlying neural network polices have not…
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance
Qingyang Tan, Tingxiang Fan, Jia Pan +1
We present a novel algorithm (DeepMNavigate) for global multi-agent navigation in dense scenarios using deep reinforcement learning (DRL). Our approach uses local and global inform…
Augmented Memory for Correlation Filters in Real-Time UAV Tracking
Yiming Li, Changhong Fu, Fangqiang Ding +2
The outstanding computational efficiency of discriminative correlation filter (DCF) fades away with various complicated improvements. Previous appearances are also gradually forgot…