Biography:
Jesús Tordesillas obtained the BS and MS in Industrial Engineering at the Universidad Politécnica de Madrid in 2016 and 2019, respectively, majoring in Electronics and Robotics. Later, he received the MS and PhD at the Massachusetts Institute of Technology in Aeronautics and Astronautics in 2019 and 2022 respectively, majoring in Robotics (Control). In 2019 he worked at the NASA-Jet Propulsion Laboratory in California. In 2022 he did a postdoc at the Massachusetts Institute of Technology, and in 2023-2024 he did another postdoc at ETH Zurich, both in Robotics. Since June 2024 he has been an Assistant Professor at the Department of Electronics, Automation, and Communications of Comillas ICAI.
He currently leads the Trustworthy Robotics and AI Lab (TRAIL): https://robotics-trail.github.io
Areas of interest:
Deep Learning, Autonomous Navigation for Robots, Artificial Intelligence, Optimization.
Skills:
Software
Languages: C, C++, Python, VHDL.
Robotics: ROS, Gazebo, Eigen, PCL, PyTorch, Chainer, OpenCV, CGAL, Vrep, RobotStudio.
Optimization: IPOPT, CasADi, Gurobi, CVXGEN, YALMIP, Google OR-Tools, GPOPS.
Engineering: Matlab, Mathematica, Labview, SysML.
Hardware
Sensors: Velodyne, Realsense, ZED.
Onboard Computers and Autopilots: Snapdragon Flight, Jetson TX2, Intel NUC, Naze32.
MOCAP: Vicon and Optitrack.
Other Boards: AtMega2560, FPGAs, Arduino
J. Tordesillas Torres, J.P. How, "PANTHER: Perception-Aware trajectory planner in dynamic environments", IEEE Access, Vol. 10, pp. 22662 - 22677, 2022. [Online: February 2022] doi: 10.1109/ACCESS.2022.3154037
A. Carrio, J. Tordesillas Torres, S.H. Vemprala, S. Saripalli, P. Campoy, J.P. How, "Onboard detection and localization of drones using depth maps", IEEE Access, Vol. 8, pp. 30480 - 30490, 2020. [Online: February 2020] doi: 10.1109/ACCESS.2020.2971938
C. Schwarke, V. Klemm, J. Bagajo, J.P. Sleiman, I. Georgiev, J. Tordesillas Torres, M. Hutter, "Learning Deployable Locomotion Control via Differentiable Simulation", presented at Conference on Robot Learning - CoRL 2025, Seoul, South Korea, 27-30 September 2025. In: Proceedings of Machine Learning Research, vol. 305, pp. 3665-3684
A. Tagliabue, J. Tordesillas Torres, X. Cai, A. Santamaria-Navarro, J.P. How, L. Carlone, A. Agha-mohammadi, "LION: Lidar-Inertial Observability-Aware navigator for vision-denied environments", presented at 17th International Symposium on Experimental Robotics - ISER 2020, Valletta, Malta, 15-18 November 2021. In: Experimental Robotics: The 17th International Symposium, pp. 380-390, doi: 10.1007/978-3-030-71151-1_34
R. Thakker, N. Alatur, D.D. Fan, J. Tordesillas Torres, M. Paton, K. Otsu, O. Toupet, A. Agha-mohammadi, "Autonomous off-road navigation over extreme terrains with perceptually-challenging conditions", presented at 17th International Symposium on Experimental Robotics - ISER 2020, Valletta, Malta, 15-18 November 2021. In: Experimental Robotics: The 17th International Symposium, pp. 161-173, doi: 10.1007/978-3-030-71151-1_15