Papers
14
Total Citations
115
H-Index
5
About
Sandeep Chinchali is a researcher whose work spans robotics, autonomous systems, and machine learning, with particular focus on cloud robotics, formal methods, and human-robot interaction. His early contributions addressed foundational challenges in robotic manipulation and planetary exploration, including formal synthesis of reactive controllers for dexterous finger gaiting (29 citations) and the design of the Axel rover for extreme extraterrestrial terrains (16 citations). Chinchali has made significant strides in cloud robotics, exploring how resource-constrained robots can intelligently offload computation to remote servers while balancing accuracy, energy, and latency constraints — themes central to several of his papers on network offloading policies, co-design of communication and inference, and probabilistic safety verification. His research also bridges autonomous driving and machine learning, with contributions to multi-objective temporal logic planning for proactive human intent modeling and personalized federated learning for driver prediction across heterogeneous environments. More recently, he has extended his scope into medical robotics, applying tactile sensing and machine learning to gastric cancer diagnosis. Through roughly a dozen cited works, Chinchali has established himself as a versatile researcher shaping how robots intelligently navigate computational, safety, and collaborative challenges in real-world deployments.
Research Focus
Key Achievements
Top Papers
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- 3Network Offloading Policies for Cloud Robotics: A Learning-Based Approach15 citations · 2019
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- 6Co-Design of Communication and Machine Inference for Cloud Robotics5 citations · 2021
- 7Safe Networked Robotics With Probabilistic Verification5 citations · 2023
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