4 citations · 9 across the 4 of their papers we have counts for
5 papers
Optimization for truss design using Bayesian optimization
Bhawani Sandeep, Surjeet Singh, Sumit Kumar
In this work, geometry optimization of mechanical truss using computer-aided finite element analysis is presented. The shape of the truss is a dominant factor in determining the ca…
MAME : Model-Agnostic Meta-Exploration
Swaminathan Gurumurthy, Sumit Kumar, Katia Sycara
Meta-Reinforcement learning approaches aim to develop learning procedures that can adapt quickly to a distribution of tasks with the help of a few examples. Developing efficient ex…
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal, Sumit Kumar, Katia Sycara
While multi-agent interactions can be naturally modeled as a graph, the environment has traditionally been considered as a black box. We propose to create a shared agent-entity gra…
Learning Configuration Space Belief Model from Collision Checks for Motion Planning
Sumit Kumar, Shushman Choudhary, Siddhartha Srinivasa
For motion planning in high dimensional configuration spaces, a significant computational bottleneck is collision detection. Our aim is to reduce the expected number of collision c…
Active Learning with Gaussian Processes for High Throughput Phenotyping
Sumit Kumar, Wenhao Luo, George Kantor +1
A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability. High Throughput Phenot…