6 papers
Efficient Real-World Online Reinforcement Learning for Robot Manipulation via Centralized Training and Critic Decomposition
Changhao Li, Yifang Zhang, Heng Zhang +6
Real-world online reinforcement learning (RL) provides a promising approach for training robotic manipulation policies directly in the physical world, avoiding the sim-to-real gap…
Intuitive Human-Robot Interfaces Leveraging on Autonomy Features for the Control of Highly-redundant Robots
Davide Torielli
[...] With the TelePhysicalOperation interface, the user can teleoperate the different capabilities of a robot (e.g., single/double arm manipulation, wheel/leg locomotion) by apply…
Cooperative Assembly with Autonomous Mobile Manipulators in an Underwater Scenario
Davide Torielli
[...] Specifically, the problem addressed is an assembly one known as the peg-in-hole task. In this case, two autonomous manipulators must carry cooperatively (at kinematic level)…
A High-Force Gripper with Embedded Multimodal Sensing for Powerful and Perception Driven Grasping
Edoardo Del Bianco, Davide Torielli, Federico Rollo +6
Modern humanoid robots have shown their promising potential for executing various tasks involving the grasping and manipulation of objects using their end-effectors. Nevertheless,…
Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems
Davide Torielli, Leonardo Franco, Maria Pozzi +4
The teleoperation of complex, kinematically redundant robots with loco-manipulation capabilities represents a challenge for human operators, who have to learn how to operate the ma…
A Laser-guided Interaction Interface for Providing Effective Robot Assistance to People with Upper Limbs Impairments
Davide Torielli, Liana Bertoni, Luca Muratore +1
Robotics has shown significant potential in assisting people with disabilities to enhance their independence and involvement in daily activities. Indeed, a societal long-term impac…