Avishek Ghosh
Papers
1
Total Citations
15
H-Index
1
About
Avishek Ghosh is a robotics researcher whose work focuses on multi-robot coordination, swarm intelligence, and multi-objective optimization. His most influential contribution addresses the classic multi-robot cooperative box-pushing problem, where he re-framed this complex coordination task as a multi-objective optimization challenge. Using a modified Multi-Objective Particle Swarm Optimization (MOPSO) technique, Ghosh developed a novel approach that enables robots to both turn and translate a box during transport—a significant advancement over prior methods that typically allowed only one type of movement. This work, published in 2012 and garnering 15 citations, demonstrates his ability to apply nature-inspired algorithms to practical robotic coordination problems. Ghosh's research sits at the intersection of swarm robotics and optimization theory, offering solutions that improve efficiency and flexibility in multi-agent systems. His contributions are particularly relevant for applications in warehouse automation, search-and-rescue operations, and collaborative manufacturing, where multiple robots must work together to manipulate shared objects.
Research Focus
Key Achievements
Top Papers
- 1