Siddhant Wadaskar

University of Southern California

Papers

2

Total Citations

8

H-Index

2

About

Siddhant Wadaskar is pioneering the future of human-robot collaboration in manufacturing, with a specific focus on making assembly lines more resilient and efficient. His research centers on two critical challenges: task allocation and contingency handling. In his highly cited 2024 work, Wadaskar introduces a novel framework for scheduling and allocating tasks between humans and robots in high-mix assembly environments, optimizing the complementary strengths of both. He further advances the field by leveraging Large Language Models to autonomously generate contingency handling procedures, enabling human-robot teams to dynamically adapt to unexpected disruptions without costly delays. With each of his key papers accumulating 4 citations in a short time, Wadaskar’s work is already shaping the next generation of adaptive, intelligent manufacturing systems. His contributions are essential for anyone researching collaborative robotics, Industry 4.0, or human-robot interaction in dynamic production settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Using Large Language Models to Generate and Apply Contingency Handling Procedures in Collaborative Assembly Applications
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Southern California

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago