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05/09/2023
Understanding why SLAM algorithms fail in modern indoor environments
Simultaneous localization and mapping (SLAM) algorithms are essential fo...
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10/04/2022
O2S: Open-source open shuttle
Currently, commercially available intelligent transport robots that are ...
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02/23/2022
Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics
We propose a deep reinforcement learning approach for solving a mapless ...
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07/05/2021
Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation
In medical tasks such as human motion analysis, computer-aided auxiliary...
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05/17/2021
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers
A key feature of intelligent behaviour is the ability to learn abstract ...
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03/26/2021
SKID RAW: Skill Discovery from Raw Trajectories
Integrating robots in complex everyday environments requires a multitude...
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11/12/2020
Parameter Optimization for Loop Closure Detection in Closed Environments
Tuning parameters is crucial for the performance of localization and map...
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11/05/2020
ROS-Mobile: An Android application for the Robot Operating System
Controlling and monitoring complex autonomous and semi autonomous roboti...
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10/30/2019
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer
A key feature of intelligent behavior is the ability to learn abstract s...
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08/13/2019
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors
Low cost robots, such as vacuum cleaners or lawn mowers, employ simplist...
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08/13/2019
Loop Closure Detection in Closed Environments
Low cost robots, such as vacuum cleaners or lawn mowers employ simplisti...
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08/11/2019
Experience Reuse with Probabilistic Movement Primitives
Acquiring new robot motor skills is cumbersome, as learning a skill from...
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04/28/2019
Learning walk and trot from the same objective using different types of exploration
In quadruped gait learning, policy search methods that scale high dimens...
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03/01/2018
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
Recent advances in the field of inverse reinforcement learning (IRL) hav...
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02/22/2018