Collision Aware Target Driven Object

Grasping a novel

Learning-based Approach for Holonomic Pushing of Box-shaped

Grasping in cluttered environments is a fundamental but challenging robotic skill. It requires both reasoning about unseen

TCDG: Target-driven Collision-aware Dexterous Grasping for Novel Objects in Clutter

Presented in IEEE International Conference on Robotics and Automation, Montreal Canada, May 20-24, 2019. Paper: ...

Paper: https://arxiv.org/abs/1912.03628 Work done by Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris ...

Abstract: Autonomous

This paper presents a motion planning algorithm that enables robots to efficiently pick up

This video is included as a supplement to our MRS 2017 conference paper of the same name. Authors: Alyssa Pierson and ...

Accompanying video of our IROS 2022 Submission. Paper: http://arxiv.org/abs/2207.10543 Code: ...

The video performs the

Nowadays robots play an increasingly important role in our daily life. In human-centered environments, robots often encounter ...

In this paper, we propose a multi-view deep learning approach to handle robust

Slide-grasping for Flat Multi-target Objects in clutter

[ ICRA 2026 Accepted Paper ] Robotic pushing is a versatile non-prehensile manipulation skill that enables robots to handle ...

RA-L 2022 https://arxiv.org/abs/2205.13146 https://doi.org/10.1109/LRA.2022.3181735.

Collision Aware Receding Horizon Path Planning with Terminal Costs

This work addresses the challenge of grasping a