Avinesh Prasad

About

Avinesh Prasad is a robotics and control systems researcher whose work spans autonomous navigation, motion planning, and multi-robot coordination. His research is anchored in developing mathematically rigorous, Lyapunov-based control frameworks that address some of the most challenging problems in mobile robotics, including obstacle avoidance, formation control, and landmark navigation. Prasad's most cited contribution — a geometric approach to target convergence and obstacle avoidance for nonstandard tractor-trailer robots (2020, 40 citations) — exemplifies his ability to translate abstract mathematical theory into practical autonomous systems solutions. His work on articulated mobile manipulators in three-dimensional environments (2021, 32 citations) further demonstrates his range, extending classical control techniques to increasingly complex robotic configurations. Notably, his 2011 paper on swarm formation control (29 citations) established early foundations for decentralized multi-robot coordination, a field of growing importance in autonomous systems research. Across his portfolio, Prasad consistently bridges theoretical elegance and engineering applicability, incorporating tools ranging from single-layer perceptrons to geometric controllers. His comparative analysis of classical and heuristic path planning approaches reflects a broader scholarly commitment to contextualizing new methods within existing literature. With over 220 cumulative citations, his body of work offers students and researchers a rich resource for advancing autonomous robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A geometric approach to target convergence and obstacle avoidance of a nonstandard tractor‐trailer robot

   40 citations · 2020
2. 2
   Motion control of an articulated mobile manipulator in 3D using the Lyapunov-based control scheme

   32 citations · 2021
3. 3
   Formation control of a swarm of mobile manipulators

   29 citations · 2011
4. 4
   A new stabilizing solution for motion planning and control of multiple robots

   27 citations · 2014
5. 5
   Stabilizing Controllers for Landmark Navigation of Planar Robots in an Obstacle-Ridden Workspace

   26 citations · 2020
6. 6
   A <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>d</mml:mi><mml:mi>ϕ</mml:mi></mml:math>-Strategy: Facilitating Dual-Formation Control of a Virtually Connected Team

   22 citations · 2017
7. 7
   A solution to the motion planning and control problem of a car-like robot via a single-layer perceptron

   15 citations · 2013
8. 8
   Strategic Creation and Placement of Landmarks for Robot Navigation in a Partially-known Environment

   14 citations · 2020
9. 9
   A Face-off - Classical and Heuristic-based Path Planning Approaches

   12 citations · 2020
10. 10
    Motion Control of a Pair of Cylindrical Manipulators in a Constrained 3-Dimensional Workspace

    7 citations · 2017

Key Collaborators

Contact & Links