Pietro Balatti is lead software engineer at the Human-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia. He received his PhD degree, cum laude, in Robotics and Automation from University of Pisa and IIT in 2021. He received the BD and the MD, cum laude, in computer science and engineering from Politecnico di Milano, Italy, in 2014 and 2016, respectively. He is involved in the EU Horizon-2020 projects SOPHIA and CONCERT, and also active in technology transfer initiatives with several industrial partners, as the Robotics for Manufacturing (R4M) lab of the Leonardo labs and the JOiiNT lab at Kilometro Rosso Innovation District. He was responsible for the robot control framework in the team "CoAware" that won the KUKA Innovation Award in April 2018, winner of the Solution Award 2019 (MECSPE2019), and finalist of Solution Award 2020 (MECSPE2020). His main research interests are focused in the enhancement of robot interaction autonomy, within the fields of adaptive impedance control, mobile manipulation, tele-operation, and physical human-robot interaction.
IIT People Search
Lead Software Engineer, Ph.D.Senior Technician
Human-Robot Interfaces and Interaction
Kato Y., Balatti P., Gandarias J.M., Leonori M., Tsuji T., Ajoudani A.
A Self-Tuning Impedance-Based Interaction Planner for Robotic Haptic Exploration
IEEE Robotics and Automation Letters, vol. 7, (no. 4), pp. 9461-9468
Gandarias J.M., Balatti P., Lamon E., Lorenzini M., Ajoudani A.
Enhancing Flexibility and Adaptability in Conjoined Human-Robot Industrial Tasks with a Minimalist Physical Interface
Proceedings - IEEE International Conference on Robotics and Automation, pp. 8061-8067
Conference Paper Conference
Lagomarsino M., Lorenzini M., Balatti P., Momi E.D., Ajoudani A.
Pick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human-Robot Collaborative Assembly
IEEE Transactions on Cognitive and Developmental Systems
Liu J., Balatti P., Ellis K., Hadjivelichkov D., Stoyanov D., Ajoudani A., Kanoulas D.
Garbage Collection and Sorting with a Mobile Manipulator using Deep Learning and Whole-Body Control
IEEE-RAS International Conference on Humanoid Robots, vol. 2021-July, pp. 408-414
100 Rodari: prove ed errori - Perché gli scienziati hanno bisogno di sbagliare
Festival della scienza 2020
Robotica collaborativa: sinergia tra intelligenza umana e prestazioni fisiche delle tecnologie contemporanee
Web Marketing Festival 2020
A Collaborative Robotic Approach to Autonomous Pallet Jack Transportation and Positioning
University of Texas at Arlington
Awards and Achievements
Balatti P., Lamon E., Fusaro F., Ajoudani A.
Finalist of the MECSPE Solution Award 2020
Kim W., Lorenzini M., Balatti P., Ajoudani A.
Winner of the MECSPE Solution Award 2019
Balatti P., De Franco A., Lamon E., De Momi E., Ajoudani A.
Best oral presentation finalist (I-RIM 2018)
Kim W., Lorenzini M., Balatti P., Nguyen P., Pattacini U., Tikhanoff V., Peternel L., Fantacci C., Natale L., Metta G., Ajoudani A.
KUKA Innovation Award 2018 Winner
Colleagues of Human-Robot Interfaces and Interaction
Arash Ajoudani Senior Researcher Tenured - Principal Investigator Human-Robot Interfaces and Interaction