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.
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, Ladder Logic (KOP), Grafcet, Rapid.
Modeling: Autodesk Inventor, SolidWorks, Autodesk Autocad, Autodesk Factory Design, Adobe Illustrator, KeyShot, Autodesk Simulation Mechanical, SolidThinking.
Electronics: Xilinx ISE, OrCad, Atmel Studio, Proteus, Psim.
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, inverters and rectifiers.
Mechatronics: 3D-Printers, PCB design, laser cutting, welding and metal lathes.
JCR: 4,600 Q2 (2023) - SJR: 2,119 Q1 (2023) 
Tordesillas Torres, J., How, J.P., PANTHER: Perception-Aware trajectory planner in dynamic environments. IEEE Access. Vol. 10, pp. 22662 - 22677, 2022. [Online: February 2022]
JCR: 3,900 Q2 (2022); 3,400 Q2 (2023) - SJR: 0,926 Q1 (2022); 0,960 Q1 (2023)
JCR: 4,300 Q1 (2022); 3,000 Q2 (2023) - SJR: 0,814 Q1 (2022); 0,791 Q1 (2023)
JCR: 7,800 Q1 (2022); 9,400 Q1 (2023) - SJR: 2,716 Q1 (2022); 3,669 Q1 (2023)
JCR: 7,800 Q1 (2022); 9,400 Q1 (2023) - SJR: 2,716 Q1 (2022); 3,669 Q1 (2023) Carrio, A., Tordesillas Torres, J., Vemprala, S.H., Saripalli, S., Campoy, P., How, J.P., Onboard detection and localization of drones using depth maps. IEEE Access. Vol. 8, pp. 30480 - 30490, 2020. [Online: February 2020]
JCR: 3,367 Q2 (2020); 3,400 Q2 (2023) - SJR: 0,587 Q1 (2020); 0,960 Q1 (2023) 
