Mallesham Dasari
Papers
2
Total Citations
4
H-Index
2
About
Mallesham Dasari is a leading researcher at the intersection of extended reality (XR), networked systems, and human-robot interaction. His work addresses critical challenges in enabling seamless, real-time collaboration across distributed environments, particularly where immersive technologies meet constrained network and compute resources. Dasari’s major contributions include pioneering frameworks for remote human-robot collaboration within XR, tackling latency, synchronization, and bandwidth limitations to make teleoperation and shared virtual workspaces practical. His research on stereoscopic video, exemplified by the "SVD: Spatial Video Dataset," provides foundational tools for advancing depth perception and realism in immersive applications, directly supporting the development of more effective XR systems. With papers already garnering citations in 2025, Dasari’s impact is rapidly growing, shaping how robots and humans interact across distances. His work is notable for bridging theoretical network optimization with applied XR, offering practical solutions for fields ranging from telemedicine to industrial automation. For students and researchers, Dasari’s profile exemplifies how cutting-edge systems research can unlock the full potential of immersive technologies.
Research Focus
Key Achievements
Top Papers
- 1Remote Human-Robot Collaboration in XR2 citations · 2025
- 2SVD: Spatial Video Dataset2 citations · 2025