I'm Davide De Benedittis
Robotics Engineer and Postdoctoral Researcher
My research focuses on:
- Planning and control of multi-robot systems 🤖🤖🤖
- Locomotion of legged robots 🦿
My last projects
All projectsControl of Quadrupedal Robots on Soft Terrains
Model-based control for quadrupedal robots moving on compliant terrains.
Hierarchical Constraint-Based Control of Multi-Robot Systems
Control of heterogeneous multi-robot fleet using hierarchical optimization and quadratic programming.
Multi-Robot Systems Reinforcement Learning JAX
Control of multi-robot systems using reinforcement learning and JAX.
Docker Container for ROS (1 and 2), GUIs, and NVIDIA GPUs Docker
Docker container to be used with ROS 1 or ROS 2. Supports the usage of GUIs and NVIDIA GPUs.
Latest publications
All publicationsBotany Meets Robotics in Alpine Screes Monitoring
Autonomous monitoring framework for alpine screes using a quadrupedal robot equipped with cameras.
Robotic Monitoring of European Habitats: a Labeled Dataset for Plant Detection in Annex I Habitats of Italy
A labeled image dataset acquired by a quadrupedal robot for plant species detection across Annex I habitats of Italy.
Managing Conflicting Tasks in Heterogeneous Multi-Robot Systems Through Hierarchical Optimization
Leverage hierarchical optimization (or hierarchical quadratic programming) for multi-robot coordination and guaranteed prioritized task execution.
A Reproducible Benchmarking Methodology to Assess Robotic Locomotion Over Irregular Terrains: A Practical and Scalable Approach
A modular, replicable testbed, standardized protocol, and performance indicators to objectively benchmark legged locomotion over irregular and sloped terrains.
Soft Bilinear Inverted Pendulum: a Model to Enable Locomotion with Soft Contacts
Model-based two-control-blocks architecture (motion planner and tracking controller) for quadrupedal locomotion in the presence of soft contacts.