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06/22/2023
MP3: Movement Primitive-Based (Re-)Planning Policy
We introduce a novel deep reinforcement learning (RL) approach called Mo...
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04/11/2023
Curriculum-Based Imitation of Versatile Skills
Learning skills by imitation is a promising concept for the intuitive te...
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04/05/2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
We propose a new policy representation based on score-based diffusion mo...
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03/27/2023
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts
Mixtures of Experts (MoE) are known for their ability to learn complex c...
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11/01/2022
Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
Humans use audio signals in the form of spoken language or verbal reacti...
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10/04/2022
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
Movement Primitives (MPs) are a well-known concept to represent and gene...
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08/12/2021
Distributional Depth-Based Estimation of Object Articulation Models
We propose a method that efficiently learns distributions over articulat...
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03/08/2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
We propose a novel reinforcement learning framework that performs self-s...
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08/24/2020