Ishikaa Lunawat — accepted AI-conference papers

2024

Evaluating Real-World Robot Manipulation Policies in Simulation

Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke +10

CoRL 2024poster

The field of robotics has made significant advances towards generalist robot manipulation policies. However, real-world evaluation of such policies is not scalable and faces reproducibility challenges, issues that are likely to worsen as policies broaden the spectrum of tasks they can perform. In th…

Cited by 67 Source ↗code ↗Scholar ↗

2024

Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering

Snehal Jauhri, Ishikaa Lunawat, Georgia Chalvatzaki

RSS 2024poster

A significant challenge for real-world robotic manipulation is the effective 6DoF grasping of objects in cluttered scenes from any single viewpoint without needing additional scene exploration. This work re-interprets grasping as rendering and introduces NeuGraspNet, a novel method for 6DoF grasp de…

Cited by 11 Source ↗PDF ↗Scholar ↗