9 citations · 9 across the 3 of their papers we have counts for
4 papers
Riemannian Splat Regression Models for Learning Time Fields on Arbitrary Riemannian Manifolds
Anastasios Manganaris, Rohit Banerjee, Gokul Prabhakaran +1
Motion planning on arbitrary Riemannian manifolds is an important and difficult problem that frustrates typical planning methods for Euclidean spaces. In particular, motion plannin…
Can Coding Agents Be General Agents?
Maksim Ivanov, Abhijay Rana, Gokul Prabhakaran
As coding agents have seen rapid capability and adoption gains, users are applying them to general tasks beyond software engineering. In this post, we investigate whether coding ag…
Standing Tall: Sim to Real Fall Classification and Lead Time Prediction for Bipedal Robots
Gokul Prabhakaran, Jessy W. Grizzle, M. Eva Mungai
This paper extends a previously proposed fall prediction algorithm to a real-time (online) setting, with implementations in both hardware and simulation. The system is validated on…
Fall Prediction for Bipedal Robots: The Standing Phase
M. Eva Mungai, Gokul Prabhakaran, Jessy W. Grizzle
This paper presents a novel approach to fall prediction for bipedal robots, specifically targeting the detection of potential falls while standing caused by abrupt, incipient, and…