Papers
8
Total Citations
106
H-Index
5
About
Mridul Agarwal is a leading researcher in semi-autonomous telerobotic surgery, with a focus on overcoming the challenges of high-latency and low-bandwidth communication networks in austere environments. His work addresses a critical bottleneck in telesurgery: even delays as small as 300 milliseconds can cause fatal errors. Agarwal’s major contributions include the DESERTS framework (25 citations), which introduces delay-tolerant semi-autonomous robot teleoperation for surgery, and the ASAP system (17 citations), designed to mitigate communication delays in remote and rural settings. He has also pioneered methods for transferring dexterous surgical skills between robots (18 citations) and between surgical procedures (3 citations), enabling autonomous capabilities during communication disruptions. His research on reinforcement learning with delayed observations (20 citations) further advances decision-making in constrained environments. Agarwal’s work has been published in top venues and has garnered over 100 total citations, reflecting its impact on the future of deployable, life-saving surgical robots in battlefield and underserved areas. His contributions are shaping the next generation of resilient, semi-autonomous surgical systems.
Research Focus
Key Achievements
Top Papers
- 1DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery25 citations · 2021
- 2Blind decision making: Reinforcement learning with delayed observations20 citations · 2021
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- 5SARTRES: a semi-autonomous robot teleoperation environment for surgery15 citations · 2020
- 6Grasping Region Identification in Novel Objects Using Microsoft Kinect5 citations · 2012
- 7
- 8Autonomous Mobile Vehicle Using ROS2 and 2D-Lidar and SLAM Navigation3 citations · 2024