03:47
Dynamic object goal pushing with mobile manipulators through constrained reinforcement learning
02:31
Santa's Little Helper | Christmas Video 2024
03:09
Perceptive Pedipulation with Local Obstacle Avoidance
02:58
RoadRunner M&M: Learning Multi-range Multi-resolution Traversability - RA-L 2024
06:51
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models
01:11
Fast Perception for Human-Robot Handovers with Legged Manipulators
02:49
PACOH-RL: Data-Efficient Task Generalization via Probabilistic Model-based Meta RL
01:52
Motion Primitives Planning For Center-Articulated Vehicles [IROS 2024]
02:38
Robust Ladder Climbing with a Quadrupedal Robot
02:15
Cybathlon - Legged Mobile Assistance for Quadriplegics
04:00
Learning to Open and Traverse Doors with a Legged Manipulator
04:38
Identifying Terrain Physical Parameters from Vision [RA-L]
02:21
Seeing Through the Grass - RA-L 2023
02:50
IN-Sight: Interactive Navigation through Sight
01:08
Radiance Fields For Robotic Teleoperation
01:10
Dynamic Throwing with Robotic Material Handling Machines
04:34
AIRA Challenge: Teleoperated Mobile Manipulation for Industrial Inspection
05:42
SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments
02:58
Rethinking Robustness Assessment: Adversarial Attack on Learning-based Quadruped Locomotion Control
02:52
Learning Robust Autonomous Navigation and Locomotion for Wheeled-legged Robots
03:00
ViPlanner: Visual Semantic Imperative Learning for Local Navigation (ICRA 2024)
40:50
Lecture - Perception and Learning for Robotics - Best Practices ML-Project
04:52
ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots
02:25
Learning Risk-Aware Locomotion (ICRA 2024)
02:58
Learning to walk in confined spaces using 3D representation
02:23
Pedipulate: Enabling Manipulation Skills using a Quadruped Robot's Leg
04:29
X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments(Sup.)
03:07
ANYmal Unleashed: Revolutionizing Search-and-Rescue with Legged Robots (DTC: Deep Tracking Control)
06:46
DTC: Deep Tracking Control
03:41
Santa vs. Lab Bullies: Festive Showdown at the RSL! 🎅🤖
08:50
A framework for robotic excavation and dry stone construction using on-site materials
02:56
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End
02:11
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks
05:00
Bayesian multi-task learning MPC for robotic mobile manipulation - IROS 2023 presentation
01:01
Learning Contact-Based State Estimation for Assembly Tasks
01:10
Demonstration of Telemanipulation during ARHCE 2023
09:38
ANYexo 2.0: A Fully Actuated Upper-Limb Exoskeleton - Presentation for IEEE CASE 2023
05:53
Versatile Multi-Contact Planning and Control for Legged Loco-Manipulation
01:29
iPlanner: Imperative Path Planning (RSS 2023)
07:14
LSTP: Long Short-Term Motion Planning for Legged and Legged-Wheeled Systems
01:24
Towards Legged Locomotion on Steep Planetary Terrain
04:15
Scientific Exploration of Challenging Planetary Analog Environments with a Team of Legged Robots
03:07
A Helping Hand: Alma's Cybathlon Challenge
01:39
Human-Robot Attachment for Exoskeletons - Self-Adapting Attachment Mechanism
02:00
Human-Robot Attachment - Representative Experiment Video: Self-Attachment
03:02
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation
02:43
Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
09:53
Learning-based Localizability Estimation for Robust LiDAR Localization: IROS22 Best Paper Award Talk
02:30
Human-Robot Attachment for Exoskeletons - Motion Capture Overlay
01:57
2022, a year of events
02:33
ANYexo 2.0 - Experiment Video: Selective Compliance Position Control
05:29
ANYexo 2.0 - Experiment Video: Activities of Daily Living
06:47
ANYexo 2.0: A Fully-Actuated Upper-Limb Exoskeleton for Versatile Robot-Assisted Neurotherapy
01:57
Supporting and Stabilizing the Scapulohumeral Rhythm with a Body- or Robot-Powered Orthosis
05:19
Neural Scene Representation for Locomotion on Structured Terrain
02:56
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
09:10
Perceptive Locomotion through Nonlinear Model Predictive Control
02:24
Collision detection and identification for a legged manipulator
48:52
Keynote speech Marco Hutter ICRA 2022
03:00
Locomotion Policy Guided Traversability Learning [IROS 2022]
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About
The Robotic Systems Lab (RSL) designs machines, creates actuation principles and builds up control technologies for autonomous operation in challenging environments.
The Robotic Systems Lab investigates the development of machines and their intelligence to operate in rough and challenging environments. With a large focus on robots with arms and legs, our research includes novel actuation methods for advanced dynamic interaction, innovative designs for increased system mobility and versatility, and new control and optimization algorithms for locomotion and manipulation. In search of clever solutions, we take inspiration from humans and animals with the goal to improve the skills and autonomy of complex robotic systems to make them applicable in various real-world scenarios.
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