Papers
5
Total Citations
23
H-Index
4
About
Pulkit Verma is a researcher whose work lies at the intersection of multi-robot systems, motion planning, and explainable artificial intelligence. His primary research focuses on the coordinated transport of deformable and rigid payloads using loosely coupled nonholonomic robots, addressing critical challenges in path planning, collision avoidance, and decentralized control. In his 2019 paper on transporting deformable payloads through static and dynamic obstacles, Verma demonstrated how multiple robots can collaboratively maneuver complex objects, earning 8 citations. He further advanced this domain by developing traffic management strategies for multi-robotic payload transport systems and introducing a robot replacement algorithm to extend operational time, both published in 2019. Beyond physical robotics, Verma made notable contributions to AI education with JEDAI (2021), a system that integrates task and motion planning with explainable AI to make robot planning accessible to non-experts. His earlier work on a mobile agents-based distributed speech recognition engine for controlling multiple robots (2015) showcases his versatility in human-robot interaction. With a publication record spanning from 2015 to 2021, Verma’s research continues to influence the fields of multi-agent systems and explainable planning.
Research Focus
Key Achievements
Top Papers
- 1
- 2JEDAI: A System for Skill-Aligned Explainable Robot Planning5 citations · 2021
- 3Loosely Coupled Payload Transport System with Robot Replacement4 citations · 2019
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