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.
|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|
|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|
|Robot-Safe Impacts with Soft Contacts Based on Learned Deformations||N. Dehio, A. Kheddar||IEEE International Conference on Robotics and Automation||2021|