44 citations · 66 across the 23 of their papers we have counts for
7 papers · 1 filter
Extrinsic Manipulation on a Support Plane by Learning Regrasping
Peng Xu, Zhiyuan Chen, Jiankun Wang +1
Extrinsic manipulation, a technique that enables robots to leverage extrinsic resources for object manipulation, presents practical yet challenging scenarios. Particularly in the c…
Kinova Gemini: Interactive Robot Grasping with Visual Reasoning and Conversational AI
Hanxiao Chen, Jiankun Wang, Max Q. -H. Meng
To facilitate recent advances in robotics and AI for delicate collaboration between humans and machines, we propose the Kinova Gemini, an original robotic system that integrates co…
Quadrotor Autonomous Landing on Moving Platform
Pengyu Wang, Chaoqun Wang, Jiankun Wang +1
This paper introduces a quadrotor's autonomous take-off and landing system on a moving platform. The designed system addresses three challenging problems: fast pose estimation, res…
Multi-Tree Guided Efficient Robot Motion Planning
Zhirui Sun, Jiankun Wang, Max Q. -H. Meng
Motion Planning is necessary for robots to complete different tasks. Rapidly-exploring Random Tree (RRT) and its variants have been widely used in robot motion planning due to thei…
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments
Fei Meng, Liangliang Chen, Han Ma +2
Balancing the trade-off between safety and efficiency is of significant importance for path planning under uncertainty. Many risk-aware path planners have been developed to explici…
Learning to Reorient Objects with Stable Placements Afforded by Extrinsic Supports
Peng Xu, Hu Cheng, Jiankun Wang +1
Reorienting objects by using supports is a practical yet challenging manipulation task. Owing to the intricate geometry of objects and the constrained feasible motions of the robot…
BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic
Chenming Li, Han Ma, Peng Xu +2
Adaptively Informed Trees (AIT*) is an algorithm that uses the problem-specific heuristic to avoid unnecessary searches, which significantly improves its performance, especially wh…