no code implementations • 4 Feb 2022 • Athindran Ramesh Kumar, Gurudutt Hosangadi
We propose a deep reinforcement learning agent with sequence neural networks embedded in the agent to adapt to robotic arms that have a varying number of links.
1 code implementation • 22 Dec 2021 • Athindran Ramesh Kumar, Sulin Liu, Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge
In practice, we have inaccurate knowledge of the system dynamics, which can lead to unsafe behaviors due to unmodeled residual dynamics.
no code implementations • 19 Jun 2021 • Athindran Ramesh Kumar, Peter J. Ramadge
Since most industrial control applications use PID controllers, PID tuning and anti-windup measures are significant problems.
no code implementations • 5 Sep 2018 • Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan
Based on these observations, we propose Pack and Detect (PaD), an approach to reduce the computational requirements of object detection in videos.