9 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…