20 citations · 109 across the 21 of their papers we have counts for
7 papers · 1 filter
Proprioceptive Image: An Image Representation of Proprioceptive Data from Quadruped Robots for Contact Estimation Learning
Gabriel Fischer Abati, João Carlos Virgolino Soares, Giulio Turrisi +2
This paper presents a novel approach for representing proprioceptive time-series data from quadruped robots as structured two-dimensional images, enabling the use of convolutional…
CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
Giovanni Minelli, Giulio Turrisi, Victor Barasuol +1
Learning robotic manipulation policies through supervised learning from demonstrations remains challenging when policies encounter execution variations not explicitly covered durin…
BC-MPPI: A Probabilistic Constraint Layer for Safe Model-Predictive Path-Integral Control
Odichimnma Ezeji, Michael Ziegltrum, Giulio Turrisi +2
Model Predictive Path Integral (MPPI) control has recently emerged as a fast, gradient-free alternative to model-predictive control in highly non-linear robotic tasks, yet it offer…
Guided Reinforcement Learning for Omnidirectional 3D Jumping in Quadruped Robots
Riccardo Bussola, Michele Focchi, Giulio Turrisi +2
Jumping poses a significant challenge for quadruped robots, despite being crucial for many operational scenarios. While optimisation methods exist for controlling such motions, the…
Feedback-MPPI: Fast Sampling-Based MPC via Rollout Differentiation -- Adios low-level controllers
Tommaso Belvedere, Michael Ziegltrum, Giulio Turrisi +1
Model Predictive Path Integral control is a powerful sampling-based approach suitable for complex robotic tasks due to its flexibility in handling nonlinear dynamics and non-convex…
Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged Robots
Lorenzo Amatucci, João Sousa-Pinto, Giulio Turrisi +3
This paper introduces a novel Model Predictive Control (MPC) implementation for legged robot locomotion that leverages GPU parallelization. Our approach enables both temporal and s…
On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics
Giulio Turrisi, Marco Capotondi, Claudio Gaz +3
We present an iterative approach for planning and controlling motions of underactuated robots with uncertain dynamics. At its core, there is a learning process which estimates the…