Sanjeev Sharma

About

Sanjeev Sharma is a prominent robotics and artificial intelligence researcher whose work spans swarm intelligence, multi-robot systems, and autonomous navigation. His most influential contribution, a comprehensive 2013 survey on robot path planning using swarm intelligence (36 citations), established him as a key voice in bio-inspired computational approaches, drawing on collective behaviors observed in ants, birds, and bees to solve complex robotic challenges. Complementing this, his research on online obstacle avoidance at high speeds (23 citations) delivered practical algorithms that account for real-world robot dynamics and actuator constraints, significantly advancing autonomous navigation capabilities. Sharma has made substantial contributions to multi-robot area exploration, developing innovative approaches including circle partitioning methods, nature-inspired algorithms, canopy clustering, and flocking behaviors — collectively accumulating dozens of citations and offering diverse solutions to coordinated robotic exploration. His work on bacteria foraging algorithms for multi-robot path planning further demonstrates his breadth across bio-inspired methodologies. Notably, his early work in 2002 on intelligent robotic aids for physically handicapped individuals reveals a longstanding commitment to socially impactful robotics. With contributions spanning foundational theory, algorithmic innovation, and humanitarian application, Sharma represents a well-rounded and enduring force in intelligent robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot Path Planning using Swarm Intelligence: A Survey

   36 citations · 2013
2. 2
   Online obstacle avoidance at high speeds

   23 citations · 2013
3. 3
   Multi robot area exploration using nature inspired algorithm

   22 citations · 2016
4. 4
   Multi Robot Area Exploration Using Circle Partitioning Method

   16 citations · 2012
5. 5
   Area Exploration by Flocking of Multi Robot

   11 citations · 2012
6. 6
   High speed on-line motion planning in cluttered environments

   8 citations · 2012
7. 7
   Canopy Clustering Based Multi Robot Area Exploration

   7 citations · 2014
8. 8
   On quaternion based parameterization of orientation in computer vision and robotics

   6 citations · 2014
9. 9
   Multi Robot Path Planning for Known and Unknown Target Using Bacteria Foraging Algorithm

   6 citations · 2015
10. 10
    Development of an intelligent robotic aid to the physically handicapped

    6 citations · 2002

Key Collaborators

Contact & Links