research
∙
07/12/2023
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Existing object-search approaches enable robots to search through free p...
share
research
∙
05/08/2023
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
In policy learning for robotic manipulation, sample efficiency is of par...
research
∙
03/21/2023
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces
The safe deployment of autonomous vehicles relies on their ability to ef...
research
∙
03/17/2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Early stopping based on the validation set performance is a popular appr...
research
∙
06/17/2022
N^2M^2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Despite its importance in both industrial and service robotics, mobile m...
research
∙
05/23/2022
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces
Recent advances in vision-based navigation and exploration have shown im...
research
∙
05/17/2022
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
In recent years, policy learning methods using either reinforcement or i...
research
∙
02/05/2022
Doing Right by Not Doing Wrong in Human-Robot Collaboration
As robotic systems become more and more capable of assisting humans in t...
research
∙
11/29/2021
Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
Audio-visual navigation combines sight and hearing to navigate to a soun...
research
∙
11/25/2021
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
A core challenge for an autonomous agent acting in the real world is to ...
research
∙
10/07/2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
Learning to solve complex manipulation tasks from visual observations is...
research
∙
06/11/2021
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning
The transition from today's mostly human-driven traffic to a purely auto...
research
∙
01/13/2021
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning
Mobile manipulation tasks remain one of the critical challenges for the ...
research
∙
08/25/2019
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
Learning from demonstrations is a promising paradigm for transferring kn...
research
∙
03/07/2018