Panagiotis Tsiotras
Georgia Institute of Technology, Solomon R. Guggenheim Museum
Papers
39
Total Citations
676
H-Index
15
About
Panagiotis Tsiotras is a prominent researcher whose work spans autonomous systems, robotics, spacecraft dynamics, and motion planning—bridging theoretical rigor with real-world engineering applications. His contributions to vehicle path planning under uncertainty have proven particularly influential; his 2019 work on covariance steering for stochastic path planning (103 citations) introduced optimal probabilistic frameworks for navigating obstacle-cluttered environments, while his 2002 experimental study on unicycle-type wheeled robots (91 citations) provided rare empirical validation of nonholonomic control theory that remains a key reference for mobile robotics researchers. Tsiotras has also advanced hierarchical motion planning with formal dynamical feasibility guarantees (69 citations), elegantly connecting high-level task logic with low-level control design. His sustained interest in space robotics has yielded a cohesive body of work leveraging dual quaternion algebra for modeling, kinematics, and control of spacecraft-mounted manipulators, directly supporting in-orbit servicing missions. More recently, his risk-aware Model Predictive Path Integral framework incorporating Conditional Value-at-Risk demonstrates his commitment to safe autonomy under uncertainty. Across these domains, Tsiotras consistently delivers mathematically sophisticated yet practically grounded solutions, making his research essential reading for anyone working at the intersection of autonomous vehicles, aerospace robotics, and control theory.
Research Focus
Key Achievements
Top Papers
- 1Optimal Stochastic Vehicle Path Planning Using Covariance Steering103 citations · 2019
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- 6Spacecraft Robot Kinematics Using Dual Quaternions32 citations · 2018
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