7 accepted papers
Learning-based motion planning can quickly generate near-optimal trajectories. However, it often requires either large training datasets or costly collection of human demonstrations. This work proposes an alternative approach that quickly generates smooth, near-optimal collision-free 3D Cartesian tr
We introduce a simple yet effective approach for dense depth reconstruction that operates directly on raw disparity data, eliminating the need for additional disparity refinement stages. By leveraging disparity maps generated from conventional stereo methods, we train a U-Net-based model to directly
In the automotive industry, several robots are required to simultaneously carry out welding sequences on the same vehicle. Coordinating and assigning welding points between robots is a manual and difficult phase that needs to be optimized using automatic tools. The cycle time of the cell strongly de
This paper addresses the problem of obtaining human-like motions on hand-arm robotic systems performing grasping actions. The focus is set on the coordinated movements of the robotic arm and the anthropomorphic mechanical hand, with which the arm is equipped. For this, human movements performing dif…
Planning motions to grasp an object in cluttered and uncertain environments is a challenging task, particularly when a collision-free trajectory does not exist and objects obstructing the way are required to be carefully grasped and moved out. This letter takes a different approach and proposes to a
This paper proposes a novel motion planning approach that exploits the concept of synergies (correlations) between degrees of freedom, extending it to the velocity space and calling them first-order synergies. An automatic partition method is defined to optimally divide the configuration space into…
The paper deals with the problem of planning movements of dual-arm anthropomorphic systems, with the aim of reducing the computational cost of the problem and making the movements look as human-like as possible. The key idea of the proposal is the search of synergies of the dual-arm anthropomorphic…