Papers
6
Total Citations
41
H-Index
3
About
Abhishek Jha is a robotics researcher whose work spans mobile robot navigation, multi-agent systems, bio-inspired robotics, and assistive technologies. His early contributions focused on foundational challenges in robot localization, most notably his 2014 work on two-wheel differential odometry, which proposed an efficient method for predicting planar and angular coordinates of mobile robots using independent wheel encoders — a paper that has garnered 22 citations and remains a practical reference in the field. Alongside this, he explored machine-to-machine communication protocols for resource-constrained robotic networks, addressing real-world limitations in power, memory, and wireless range. More recently, Jha has expanded into cutting-edge areas including decentralized multi-agent control, contributing to scalable safety frameworks that handle actuation limits and deadlock prevention for thousands of autonomous agents. His work on cam-operated in-pipe robots demonstrates a versatile interest in inspection robotics for industrial applications, while his comprehensive review of bio-inspired swimming robots reflects a growing engagement with biomimetic design. His 2022 research on indoor assistive robots further highlights his commitment to human-centered robotics. Collectively, Jha's portfolio reveals a researcher bridging theoretical foundations with practical, deployable robotic systems across diverse and impactful domains.
Research Focus
Key Achievements
Top Papers
- 1Two wheels differential type odometry for mobile robots22 citations · 2014
- 2A comprehensive review of bio-inspired swimming in robotic fishes5 citations · 2025
- 3
- 4Design and Development of Cam-Operated in-Pipe Robot (CIPR)3 citations · 2024
- 5M2M communication system for networked robots with low memory footprint3 citations · 2014
- 6