72 citations · 92 across the 9 of their papers we have counts for
9 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…
CONCERT: a Modular Reconfigurable Robot for Construction
Luca Rossini, Edoardo Romiti, Arturo Laurenzi +16
This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on-site operations in a construction site. CONCERT has been designed to support…
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…
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications
Enrico Mingo Hoffman, Arturo Laurenzi, Francesco Ruscelli +13
This work presents the computational design and validation of the Multi-Arm Relocatable Manipulator (MARM), a three-limb robot for space applications, with particular reference to…
Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System
Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere +29
Mobile manipulation robots have high potential to support rescue forces in disaster-response missions. Despite the difficulties imposed by real-world scenarios, robots are promisin…
Remote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance
Tobias Klamt, Max Schwarz, Christian Lenz +21
Solving mobile manipulation tasks in inaccessible and dangerous environments is an important application of robots to support humans. Example domains are construction and maintenan…
Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks
Anh Nguyen, Dimitrios Kanoulas, Luca Muratore +2
We present a new method to translate videos to commands for robotic manipulation using Deep Recurrent Neural Networks (RNN). Our framework first extracts deep features from the inp…