Papers
6
Total Citations
23
H-Index
3
About
Muneeb Ahmed is a researcher at the forefront of intelligent robotics, specializing in human-robot interaction, teleoperation, and advanced sensing systems. His work bridges the gap between human intent and robotic action, with a particular focus on assistive and surgical applications. Ahmed’s most cited paper, “Expanding the Horizons of Interventional Radiology With Advanced Image Guidance and Robotics” (2023, 10 citations), highlights his contributions to integrating robotics into medical procedures, enhancing precision and safety. He has also made significant strides in human intent estimation, as seen in his work on using kinaesthetic and visual feedback for assistive robotic teleoperation (2023, 4 citations), which is critical for developing intuitive, responsive systems. Additionally, Ahmed has tackled challenges in real-time detection of robotic traffic in online advertising (2023, 3 citations) and explored edge intelligence for tactile systems, improving haptic feedback in soft object grasping (2025, 2 citations). His research on split-control in bilateral teleoperation and vision-based wrist localization further underscores his commitment to robust, real-time robotic control. With a growing citation record and a focus on practical, impactful applications, Ahmed is shaping the future of intelligent, human-centric robotics.
Research Focus
Key Achievements
Top Papers
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- 3Real-Time Detection of Robotic Traffic in Online Advertising3 citations · 2023
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