Adity Saikia
Papers
3
Total Citations
19
H-Index
3
About
Aditya Saikia is a researcher at the forefront of human-robot interaction, specializing in assistive robotics and collaborative control systems. His work centers on developing intelligent architectures that enable seamless cooperation between humans and machines, with a particular focus on enhancing mobility for individuals with disabilities. Saikia’s most significant contribution is the creation of the cBDI (collaborative Belief-Desire-Intention) model, an extension of the classic BDI framework designed to support human-machine collaboration. This architecture was formalized and implemented in a cognitively enhanced collaborative control system for an intelligent wheelchair, as detailed in his 2018 paper, which has garnered 11 citations. The system provides “assistance as required,” dynamically balancing user autonomy with machine support. His earlier foundational works, including “cBDI-based Collaborative Control for a Robotic Wheelchair” (2016, 5 citations) and “cBDI: Towards an Architecture for Human–Machine Collaboration” (2016, 3 citations), laid the groundwork for this innovation. Saikia’s research has the potential to transform assistive technology, offering a more intuitive and adaptive approach to human-robot collaboration that could improve quality of life for users worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2cBDI-based Collaborative Control for a Robotic Wheelchair5 citations · 2016
- 3cBDI: Towards an Architecture for Human–Machine Collaboration3 citations · 2016