概要

Europe is leading the market of torque-controlled robots. These robots can withstand physical interaction with the environment, including impacts, while providing accurate sensing and actuation capabilities. I.AM. leverages this technology and strengthens European leadership by endowing robots to exploit intentional impacts for manipulation. I.AM. focuses on impact aware manipulation in logistics, a new area of application for robotics which will grow exponentially in the coming years, due to socio-economical drivers such as booming of e-commerce and scarcity of labor.

Learn more about it on the project website.

実施期間

2020-2024

資金提供

H2020
タイトル 著者 学会/論文誌 bib pdf
Planning Impact-Driven Logistic Tasks A. Zermane, N. Dehio, A. Kheddar IEEE Robotics and Automation Letters 2024
Robust Cartesian Kinematics Estimation for Task-Space Control Systems S. Baradaran Birjandi, N. Dehio, A. Kheddar, S. Haddadin IEEE/RSJ International Conference on Intelligent Robots and Systems 2022
Dual-Arm Box Grabbing With Impact-Aware MPC Utilizing Soft Deformable End-Effector Pads N. Dehio, Y. Wang, A. Kheddar IEEE Robotics and Automation Letters 2022
On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts Y. Wang, N. Dehio, A. Kheddar IEEE Robotics and Automation Letters 2022
Predicting Impact-Induced Joint Velocity Jumps on Kinematic-Controlled Manipulator Y. Wang, N. Dehio, A. Kheddar IEEE Robotics and Automation Letters 2022
Robot-Safe Impacts with Soft Contacts Based on Learned Deformations N. Dehio, A. Kheddar IEEE International Conference on Robotics and Automation 2021