Sudhanshu Mishra

About

Dr. Sudhanshu Mishra is a leading researcher in autonomous mobile robotics, specializing in collision avoidance, path planning, and real-time object tracking. His work addresses the critical challenge of enabling robots to navigate safely and efficiently through dense, cluttered environments. Dr. Mishra’s most impactful contribution, "A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments," has garnered 41 citations, underscoring its significance in the field. He has also advanced real-time perception systems, developing techniques for lane line detection and robust object tracking using Kalman filters and particle filters. His recent work introduces adaptive stochastic gradient descent with least angle regression for intelligent path planning, further pushing the boundaries of autonomous navigation. Dr. Mishra’s research is instrumental in the development of autonomous ground vehicles and mobile robots for industrial and transportation applications, making him a key figure in the evolution of intelligent, self-navigating systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments

   41 citations · 2022
2. 2
   Real-Time Tracking and Lane Line Detection Technique for an Autonomous Ground Vehicle System

   6 citations · 2019
3. 3
   Collision avoidance and path planning for mobile robots based on state estimation approach

   3 citations · 2023
4. 4
   Robust detection & tracking of object by particle filter using color information

   2 citations · 2013
5. 5
   Real Time Detection and Tracking of a Model Car using Kalman Filter

   2 citations · 2019
6. 6
   Adaptive stochastic gradient descent with least angle regression enhanced navigation: intelligent path planning in cluttered environments for autonomous robots

   1 citations · 2025

Key Collaborators

Contact & Links