Davide De Benedittis
Hey there 👋

I'm Davide De Benedittis

Robotics Engineer and Postdoctoral Researcher

Postdoc by day, robotics engineer by night. I work on planning and control of multi-robot systems and on legged locomotion, building algorithms that guarantee safety without sacrificing performance on real robots.

I like... robots, basketball, programming, gym, and sushi.

Davide De Benedittis

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Latest projects

All projects

swarp: Swarm Simulation on NVIDIA Warp

Warp

GPU-resident, differentiable, vectorized 2D multi-robot simulator with zero-copy PyTorch interop.

Latest publications

All publications

Keep It Cool: Optimal Control of Robotic Systems Under Temperature Constraints

IEEE Transactions on Control Systems Technology —

Hierarchical quadratic programming and MPC that fold motor driver temperature dynamics into the system model to prevent overheating.

Botany Meets Robotics in Alpine Scree Monitoring

IEEE Transactions on Field Robotics —

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

Scientific Data —

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

IEEE Robotics and Automation Letters —

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

IEEE Robotics & Automation Magazine —

A modular, replicable testbed, standardized protocol, and performance indicators to objectively benchmark legged locomotion over irregular and sloped terrains.