Search Results for author: Gautham Narayan Narasimhan

Found 3 papers, 2 papers with code

Lidar based 3D Tracking and State Estimation of Dynamic Objects

no code implementations3 Apr 2023 Patil Shubham Suresh, Gautham Narayan Narasimhan

State estimation of oncoming vehicles: Earlier research has been based on determining states like position, velocity, orientation , angular velocity, etc of ego-vehicle.

Decision Making Motion Planning +1

Self-supervised Transparent Liquid Segmentation for Robotic Pouring

1 code implementation3 Mar 2022 Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held

Liquid state estimation is important for robotics tasks such as pouring; however, estimating the state of transparent liquids is a challenging problem.

Segmentation

ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning

1 code implementation13 Nov 2020 YuFei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held

Current image-based reinforcement learning (RL) algorithms typically operate on the whole image without performing object-level reasoning.

Multi-Goal Reinforcement Learning Object +2

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