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09/18/2023
Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
Controlled execution of dynamic motions in quadrupedal robots, especiall...
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05/24/2023
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study
The development of automated vehicles has the potential to revolutionize...
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05/15/2023
Quadratic Programming-based Reference Spreading Control for Dual-Arm Robotic Manipulation with Planned Simultaneous Impacts
With the aim of further enabling the exploitation of intentional impacts...
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04/11/2023
TrajFlow: Learning the Distribution over Trajectories
Predicting the future behaviour of people remains an open challenge for ...
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03/26/2023
Robotic Packaging Optimization with Reinforcement Learning
Intelligent manufacturing is becoming increasingly important due to the ...
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03/24/2023
Learning from Few Demonstrations with Frame-Weighted Motion Generation
Learning from Demonstration (LfD) aims to encode versatile skills from h...
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03/08/2023
Robotic Fabric Flattening with Wrinkle Direction Detection
Deformable Object Manipulation (DOM) is an important field of research a...
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02/21/2023
Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments
Balancing safety and efficiency when planning in crowded scenarios with ...
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02/20/2023
Stable Motion Primitives via Imitation and Contrastive Learning
Learning from humans allows non-experts to program robots with ease, low...
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01/25/2023
An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Human Preferences
Humans often demonstrate diverse behaviors due to their personal prefere...
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01/06/2023
Do You Need a Hand? – a Bimanual Robotic Dressing Assistance Scheme
Developing physically assistive robots capable of dressing assistance ha...
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11/15/2022
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
Several recent works show impressive results in mapping language-based h...
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11/10/2022
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios
Autonomous vehicles currently suffer from a time-inefficient driving sty...
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10/31/2022
Interactive Imitation Learning in Robotics: A Survey
Interactive Imitation Learning (IIL) is a branch of Imitation Learning (...
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10/28/2022
Interactive Imitation Learning of Bimanual Movement Primitives
Performing bimanual tasks with dual robotic setups can drastically incre...
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10/04/2022
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
In recent years, imitation learning (IL) has been widely used in industr...
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09/23/2022
Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration
Many high precision (dis)assembly tasks are still being performed by hum...
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09/15/2022
Learning to Exploit Elastic Actuators for Quadruped Locomotion
Spring-based actuators in legged locomotion provide energy-efficiency an...
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01/24/2022
Learning Task-Parameterized Skills from Few Demonstrations
Moving away from repetitive tasks, robots nowadays demand versatile skil...
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10/09/2021
Teaching Robots to Grasp Like Humans: An Interactive Approach
This work investigates how the intricate task of grasping may be learned...
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03/04/2021
ILoSA: Interactive Learning of Stiffness and Attractors
Teaching robots how to apply forces according to our preferences is stil...
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01/13/2021
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions
In this paper, we propose a new data augmentation method, Random Shadows...
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08/02/2020
Interactive Imitation Learning in State-Space
Imitation Learning techniques enable programming the behavior of agents ...
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08/14/2019
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
Deep Reinforcement Learning (DRL) has become a powerful methodology to s...
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03/14/2019
Deep Reinforcement Learning with Feedback-based Exploration
Deep Reinforcement Learning has enabled the control of increasingly comp...
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03/12/2019
Learning Gaussian Policies from Corrective Human Feedback
Learning from human feedback is a viable alternative to control design t...
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09/30/2018
