Papers
6
Total Citations
36
H-Index
5
About
Stanley Mugisha is a robotics researcher whose work sits at the intersection of human-robot interaction, haptic interfaces, and collaborative robotics. His research focuses on developing safer, more responsive systems that allow humans and robots to share workspaces and interact intuitively, particularly within virtual reality environments. Mugisha's most significant contributions center on the concept of intermittent haptic interfaces, where a collaborative robot (cobot) serves as a physical proxy enabling users to "touch" virtual objects. His work addresses a fundamental challenge in this domain: unavoidable delays caused by device limitations that compromise the quality and safety of haptic feedback. To overcome this, he has pioneered the application of Gaussian processes for human motion prediction, enabling robots to anticipate human movement and avoid collisions proactively rather than reactively. His research portfolio, accumulating over 36 citations across six key publications, spans trajectory planning in dynamic environments, motion strategies for cobots, and context-aware haptic response optimization. Together, these contributions form a cohesive framework for making human-robot collaboration both safer and more immersive. Mugisha's work is particularly valuable for researchers and engineers designing next-generation collaborative systems in industrial, medical, and virtual reality applications.
Research Focus
Key Achievements
Top Papers
- 1Improving Haptic Response for Contextual Human Robot Interaction9 citations · 2022
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