Sai Aneesh Suryadevara — accepted AI-conference papers

2025

WildLMa: Long Horizon Loco-Manipulation in the Wild

Ri-Zhao Qiu, Yuchen Song, Xuanbin Peng, Sai Aneesh Suryadevara, Ge Yang, Minghuan Liu +5

ICRA 2025

‘In-the-wild’ mobile manipulation aims to deploy robots in diverse real-world environments, which requires the robot to (1) have skills that generalize across object configurations; (2) be capable of long-horizon task execution in diverse environments; and (3) perform complex manipulation beyond pic

Cited by 16 Source ↗Scholar ↗

2023

Learning Nonprehensile Dynamic Manipulation: Sim2real Vision-Based Policy With a Surgical Robot

Radian Gondokaryono, Mustafa Haiderbhai, Sai Aneesh Suryadevara, Lueder A. Kahrs

RA-L 2023

Surgical tasks such as tissue retraction, tissue exposure, and needle suturing remain challenging in autonomous surgical robotics. One challenge in these tasks is nonprehensile manipulation such as pushing tissue, pressing cloth, and needle threading. In this work, we isolate the problem of nonprehe

Cited by 6 Source ↗Scholar ↗