Scholar
Ioannis Mandralis
Google Scholar ID: 56UwRyEAAAAJ
PhD Candidate, California Institute of Technology
Citations & Impact
Citations
195
H-index
7
i10-index
5
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 1. Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies, accepted for publication in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025; 2. ATMO: an aerially transforming morphobot for dynamic ground-aerial transition, published in Nature Communications Engineering, 2025; 3. Self-supervised cost of transport estimation for multimodal path planning, published in IEEE Robotics and Automation Letters, 2025; 4. Minimum time trajectory generation for bounding flight: Combining posture control and thrust vectoring, published in European Control Conference (ECC), 2023; 5. Demonstrating autonomous 3d path planning on a novel scalable ugv-uav morphing robot, published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023; 6. Learning swimming escape patterns for larval fish under energy constraints, published in Physical Review Fluids, 2021.
Research Experience
- Works at the CAST center at Caltech, focusing on multi-modal robots such as the Aerially Transforming Morphobot (ATMO); worked as a Robotics Software Engineer at Anybotics, developing novel parameter estimation algorithms to improve the walking performance of the quadruped robot Anymal; at ETH Zurich, collaborated with Professor Petros Koumoutsakos on deep reinforcement learning for control of soft swimming bodies.
Education
- PhD Candidate at the Center for Autonomous Systems and Technologies (CAST) at Caltech, supervised by Professors Morteza Gharib and Richard M. Murray; Master's Degree in Mechanical Engineering and Robotics from ETH Zurich; Bachelor's Degree in Mechanical Engineering from EPFL.
Background
- Research interests include a broad range of topics related to the autonomy of robotic systems, with a focus on using new tools from learning and control and applying them to hardware. Currently working on aerial robots with non-trivial morphologies, particularly showcasing multi-modal behaviors that enhance ground-aerial locomotion.
Miscellany
- Recipient of the Onassis Foundation Scholarship
