Bishakh Bhattacharya

Indian Institute of Technology Kanpur, Waseda University

Papers

17

Total Citations

290

H-Index

9

About

Bishakh Bhattacharya is a robotics and automation researcher whose work spans structural health monitoring, robotic systems design, and intelligent inspection technologies. His most significant contribution lies in the development of advanced robotic platforms for pipeline inspection, including crawler robots equipped with PVDF sensor-based probes and machine learning-enhanced wavelet analysis for detecting corrosion and fatigue defects in gas pipelines — work that has collectively garnered over 80 citations and addresses critical industrial safety challenges. Bhattacharya has also made notable strides in robotic gripper optimization, applying multiobjective genetic algorithms and piezoelectric modeling to achieve high-precision designs, with his 2015 gripper study becoming his most cited work at 97 citations. His research extends into mobile robotics, including a minimalist step-climbing robot and an aquatic multi-robot lake-cleaning system, demonstrating a broad commitment to applied autonomous systems. More recently, he has explored agricultural robotics through soft gripper design for tomato harvesting and contributed a comprehensive review of tele-manipulators for remote surgery. With a portfolio spanning over two decades, Bhattacharya's work reflects a sustained focus on practical, intelligent robotic solutions for real-world engineering and environmental challenges.

Research Focus

Key Achievements

9
H-Index
17
Papers
290
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Analysis and Design Optimization of a Robotic Gripper Using Multiobjective Genetic Algorithm
97 citations · 2015
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Indian Institute of Technology Kanpur, Waseda University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago