Papers
7
Total Citations
56
H-Index
4
About
Abhishesh Pal is a robotics and computer vision researcher whose work sits at the compelling intersection of autonomous systems and agricultural technology. His research primarily focuses on human-robot collaboration, intelligent vision systems, and activity recognition frameworks designed to modernize labor-intensive farming operations. Pal's most impactful contribution, an end-to-end vision-based architecture for agricultural human-robot collaboration in fruit picking (2023), has garnered 34 citations, underscoring the timeliness and relevance of deploying robot fleets alongside human farmworkers to boost productivity. He has also developed a video-based human activity and motion direction classification framework tailored for agricultural environments, addressing real-world challenges around worker monitoring and robot coordination. Earlier in his career, Pal contributed meaningfully to precision dairy farming, designing teat detection systems leveraging TOF, RGB-D, and thermal imaging for next-generation milking robots — work that demonstrated his versatility across agricultural domains. His event prediction framework for anticipatory robot fleet scheduling further reflects a systems-level thinking that extends beyond individual machines. With a research trajectory spanning embedded robotics, machine learning, and agricultural automation, Pal represents an emerging voice advancing smart farming solutions for a labor-constrained world.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7