no code implementations • 13 May 2024 • Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak
While there has been remarkable progress recently in the fields of manipulation and locomotion, mobile manipulation remains a long-standing challenge.
no code implementations • 5 Dec 2023 • Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak
However, this task requires both a complex understanding of functional affordances as well as precise low-level control.
no code implementations • 25 Sep 2023 • Xuxin Cheng, Kexin Shi, Ananye Agarwal, Deepak Pathak
In this paper, we take a similar approach to developing robot parkour on a small low-cost robot with imprecise actuation and a single front-facing depth camera for perception which is low-frequency, jittery, and prone to artifacts.
no code implementations • 12 Sep 2023 • Kenneth Shaw, Ananye Agarwal, Deepak Pathak
We show that LEAP Hand can be used to perform several manipulation tasks in the real world -- from visual teleoperation to learning from passive video data and sim2real.
no code implementations • 14 Nov 2022 • Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak
Animals are capable of precise and agile locomotion using vision.
no code implementations • CVPR 2022 • Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak
A safety advisor module adds sensed unexpected obstacles to the occupancy map and environment-determined speed limits to the velocity command generator.
no code implementations • 6 Jun 2021 • Ananye Agarwal, Pradeep Shenoy, Mausam
A key limitation is that such neural-to-symbolic models can only be trained end-to-end for tasks where the output space is symbolic.