20 citations · 35 across the 12 of their papers we have counts for
11 papers · 1 filter
Unlocking the Potential of Soft Actor-Critic for Imitation Learning
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
Learning-based methods have enabled robots to acquire bio-inspired movements with increasing levels of naturalness and adaptability. Among these, Imitation Learning (IL) has proven…
Adaptive Model-Base Control of Quadrupeds via Online System Identification using Kalman Filter
Jonas Haack, Franek Stark, Shubham Vyas +2
Many real-world applications require legged robots to be able to carry variable payloads. Model-based controllers such as model predictive control (MPC) have become the de facto st…
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
Octavio Arriaga, Rebecca Adam, Melvin Laux +4
Real-world robotic applications, from autonomous exploration to assistive technologies, require adaptive, interpretable, and data-efficient learning paradigms. While deep learning…
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera +17
In the field of robotics many different approaches ranging from classical planning over optimal control to reinforcement learning (RL) are developed and borrowed from other fields…
Model Predictive Parkour Control of a Monoped Hopper in Dynamically Changing Environments
Maximilian Albracht, Shivesh Kumar, Shubham Vyas +1
A great advantage of legged robots is their ability to operate on particularly difficult and obstructed terrain, which demands dynamic, robust, and precise movements. The study of…
MARLIN: A Cloud Integrated Robotic Solution to Support Intralogistics in Retail
Dennis Mronga, Andreas Bresser, Fabian Maas +6
In this paper, we present the service robot MARLIN and its integration with the K4R platform, a cloud system for complex AI applications in retail. At its core, this platform conta…