42 citations
- Italian Institute of TechnologyIT11 papers
- University of GenoaIT10 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Massachusetts Institute of TechnologyUS3 papers
- GIPSA-LabFR2 papers
- IMT School for Advanced Studies LuccaIT2 papers
- Limassol General HospitalCY2 papers
- Politecnico di MilanoIT2 papers
- Ubitech (Greece)GR2 papers
- Université Grenoble AlpesFR2 papers
- University of PisaIT2 papers
- Aix-Marseille UniversitéFR1 paper
6 papers · 1 filter
Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration
Marta Lagomarsino, Elena Merlo, Andrea Pupa +5
Remarkable capabilities have been achieved by robotics and AI, mastering complex tasks and environments. Yet, humans often remain passive observers, fascinated but uncertain how to…
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch
Federico Ceola, Elisa Maiettini, Lorenzo Rosasco +1
Multi-fingered robotic hands have potential to enable robots to perform sophisticated manipulation tasks. However, teaching a robot to grasp objects with an anthropomorphic hand is…
Kinetostatic Optimization for Kinematic Redundancy Planning of Nimbl'Bot Robot
Angelica Ginnante, Stéphane Caro, Enrico Simetti +1
<jats:title>Abstract</jats:title> <jats:p>In manufacturing industry, Computer Numerical Control (CNC) machines are often preferred over Industrial Serial Robots (ISR) for machining…
Optimization-Based Reference Generator for Nonlinear Model Predictive Control of Legged Robots
Angelo Bratta, Michele Focchi, Niraj Rathod +1
Model Predictive Control (MPC) approaches are widely used in robotics, since they guarantee feasibility and allow the computation of updated trajectories while the robot is moving.…
Model Predictive Control with Environment Adaptation for Legged Locomotion
Niraj Rathod, Angelo Bratta, Michele Focchi +4
Re-planning in legged locomotion is crucial to track the desired user velocity while adapting to the terrain and rejecting external disturbances. In this work, we propose and test…
Careful with That! Observation of Human Movements to Estimate Objects Properties
Linda Lastrico, Alessandro Carfì, Alessia Vignolo +3
Humans are very effective at interpreting subtle properties of the partner's movement and use this skill to promote smooth interactions. Therefore, robotic platforms that support h…