Mukunda Bharatheesha
Delft University of Technology, Indian Institute of Technology Bombay
Papers
9
Total Citations
211
H-Index
5
About
Mukunda Bharatheesha is a leading roboticist whose work spans autonomous manipulation, multi-robot coordination, and human-robot collaboration. He is best known for his pivotal role in Team Delft’s victory at the Amazon Picking Challenge 2016, where their robot won both the Picking and Stowing competitions. This achievement, detailed in his highly cited 2017 paper (127 citations), demonstrated that current robot technology could reliably automate pick-and-place operations in semi-structured warehouse environments—a milestone for industrial robotics. His follow-up work on integrating automation levels (47 citations) further distilled the team’s winning strategy. Beyond manipulation, Bharatheesha has advanced path planning with automated parameter tuning (17 citations) and developed CORNET 2.0, a co-simulation framework for communication and control in multi-robot systems. His research on formation control for differential-drive robots and trajectory generation that increases human acceptance of robot motions highlights his commitment to practical, collaborative automation. With a portfolio that bridges award-winning competition success and rigorous algorithmic innovation, Bharatheesha continues to shape the future of autonomous robotics in logistics and beyond.
Research Focus
Key Achievements
Top Papers
- 1Team Delft’s Robot Winner of the Amazon Picking Challenge 2016127 citations · 2017
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- 3Automated tuning and configuration of path planning algorithms17 citations · 2017
- 4Team Delft's Robot Winner of the Amazon Picking Challenge 20167 citations · 2016
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- 9CORNET 2.0: A Co-Simulation Middleware forRobot Networks.2 citations · 2021