Lovekesh Vig

About

Lovekesh Vig is a researcher whose work has significantly advanced the field of autonomous multi-robot systems, with a particular focus on coalition formation, task allocation, and multi-objective optimization. His most influential contribution, "Multi-robot Coalition Formation" (2006), has garnered 275 citations and stands as a landmark work bridging coalition formation algorithms from software agent theory into practical robotics applications. Vig systematically addressed the challenge of enabling autonomous robot teams to self-organize and collaboratively complete complex missions — a problem he explored across multiple dimensions, including market-based approaches, non-additive environments, and parallel multi-objective frameworks. His sustained publication record from 2005 through 2015 on coalition formation reflects a deep, evolving research program that has collectively shaped how the robotics community approaches distributed task assignment. More recently, Vig has expanded into reinforcement learning and deep learning applications, exploring deterministic policy gradient methods for robotic path planning in unstructured environments, as well as cognitive models for sequential learning that tackle catastrophic interference in neural networks. With a combined citation count exceeding 500 across his top works, Vig's contributions offer both theoretical rigor and practical relevance, making his research an essential reference for students and practitioners working in multi-robot systems and autonomous decision-making.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-robot coalition formation

   275 citations · 2006
2. 2
   Coalition Formation: From Software Agents to Robots

   88 citations · 2007
3. 3
   Market-Based Multi-robot Coalition Formation

   61 citations · 2007
4. 4
   Parallel multi-objective multi-robot coalition formation

   35 citations · 2015
5. 5
   Issues in Multi-Robot Coalition Formation

   30 citations · 2005
6. 6
   Non-additive multi-objective robot coalition formation

   24 citations · 2013
7. 7
   A Framework for Multi-Robot Coalition Formation.

   14 citations · 2005
8. 8
   Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces

   5 citations · 2017
9. 9
   Multi-objective Robot Coalition Formation for Non-additive Environments

   5 citations · 2011
10. 10
    A Cognitive Model for Generalization during Sequential Learning

    2 citations · 2011

Key Collaborators

Contact & Links