Controlled execution of dynamic motions in quadrupedal robots, especiall...
The development of automated vehicles has the potential to revolutionize...
With the aim of further enabling the exploitation of intentional impacts...
Predicting the future behaviour of people remains an open challenge for ...
Intelligent manufacturing is becoming increasingly important due to the
...
Learning from Demonstration (LfD) aims to encode versatile skills from h...
Deformable Object Manipulation (DOM) is an important field of research a...
Balancing safety and efficiency when planning in crowded scenarios with
...
Learning from humans allows non-experts to program robots with ease, low...
Humans often demonstrate diverse behaviors due to their personal prefere...
Developing physically assistive robots capable of dressing assistance ha...
Several recent works show impressive results in mapping language-based h...
Autonomous vehicles currently suffer from a time-inefficient driving sty...
Interactive Imitation Learning (IIL) is a branch of Imitation Learning (...
Performing bimanual tasks with dual robotic setups can drastically incre...
In recent years, imitation learning (IL) has been widely used in industr...
Many high precision (dis)assembly tasks are still being performed by hum...
Spring-based actuators in legged locomotion provide energy-efficiency an...
Moving away from repetitive tasks, robots nowadays demand versatile skil...
This work investigates how the intricate task of grasping may be learned...
Teaching robots how to apply forces according to our preferences is stil...
In this paper, we propose a new data augmentation method, Random Shadows...
Imitation Learning techniques enable programming the behavior of agents
...
Deep Reinforcement Learning (DRL) has become a powerful methodology to s...
Deep Reinforcement Learning has enabled the control of increasingly comp...
Learning from human feedback is a viable alternative to control design t...
Deep Reinforcement Learning (DRL) has become a powerful strategy to solv...