Syed Ibtisam Tauhidi

Tezpur University

Papers

1

Total Citations

5

H-Index

1

About

Syed Ibtisam Tauhidi is a researcher at the intersection of robotics, artificial intelligence, and assistive technology, with a primary focus on human-machine collaboration. His most cited work, "cBDI-based Collaborative Control for a Robotic Wheelchair" (2016), introduces a novel control architecture that extends the classic Belief-Desire-Intention (BDI) model to enable seamless cooperation between humans and machines. This cBDI framework provides "assistance as required," dynamically balancing user autonomy with robotic support to enhance mobility for individuals with disabilities. The paper, which has garnered 5 citations, presents promising evaluation results that demonstrate the architecture's effectiveness in real-world scenarios. Tauhidi's contributions are particularly notable for bridging cognitive modeling and practical robotics, offering a scalable solution for intelligent assistive systems. His work holds significant potential for advancing human-robot interaction, especially in healthcare and rehabilitation contexts, where adaptive, collaborative control is critical. By integrating AI-driven decision-making with user intent, Tauhidi is helping to shape the future of autonomous assistive devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
cBDI-based Collaborative Control for a Robotic Wheelchair
5 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tezpur University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago