Alessandro Saccon
246 posts

Alessandro Saccon
@AleSaccon
Robots and Advanced Control Theory, Associate Prof @TUEindhoven. Coordinator H2020 project @I_AM_H2020, impact-aware manipulation for logistics







Unitree B2-W Talent Awakening! 🥳 One year after mass production kicked off, Unitree’s B2-W Industrial Wheel has been upgraded with more exciting capabilities. Please always use robots safely and friendly. #Unitree #Quadruped #Robotdog #Parkour #EmbodiedAI #IndustrialRobot #InspectionRobot #IntelligentRobot #FoundationModels #LeggedRobot #WheeledLegs

Hillbot and UCSD introduce ManiSkill-HAB, a GPU-accelerated benchmark for in-home object rearrangement, 3x faster than prior methods. Includes RL/IL baselines, automated event annotations, and scalable dataset creation for diverse AI training scenarios.


Everything you love about generative models — now powered by real physics! Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics simulation platform designed for general-purpose robotics and physical AI applications. Genesis's physics engine is developed in pure Python, while being 10-80x faster than existing GPU-accelerated stacks like Isaac Gym and MJX. It delivers a simulation speed ~430,000 faster than in real-time, and takes only 26 seconds to train a robotic locomotion policy transferrable to the real world on a single RTX4090 (see tutorial: genesis-world.readthedocs.io/en/latest/user…). The Genesis physics engine and simulation platform is fully open source at github.com/Genesis-Embodi…. We'll gradually roll out access to our generative framework in the near future. Genesis implements a unified simulation framework all from scratch, integrating a wide spectrum of state-of-the-art physics solvers, allowing simulation of the whole physical world in a virtual realm with the highest realism. We aim to build a universal data engine that leverages an upper-level generative framework to autonomously create physical worlds, together with various modes of data, including environments, camera motions, robotic task proposals, reward functions, robot policies, character motions, fully interactive 3D scenes, open-world articulated assets, and more, aiming towards fully automated data generation for robotics, physical AI and other applications. Open Source Code: github.com/Genesis-Embodi… Project webpage: genesis-embodied-ai.github.io Documentation: genesis-world.readthedocs.io 1/n

T-RO Special Collection #ImpactAwareRobotics is live! A special thank you to Abderrahmane Kheddar, @YanGuRobotics, @MichaelAPosa, @AleSaccon, and handling editor Paolo Robuffo Giordano for their tireless commitment. ieeexplore.ieee.org/xpl/topics.jsp… #LeggedRobots #RobotSensingSystems




Extreme Off-Road | #DEEPRobotics #Lynx All-Terrian #Robot #robotdog #tech #ai #quadrupedrobot #robotics



Time to reveal the #DutchDataPrize winners of 2024! In the category #Natural & #Engineering Sciences - #NES - the winner is 'Impact-aware Robotics Database'. Congratulations Maarten Jongeneel and @AleSaccon of @TUEindhoven #RDNL









