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08/10/2023
CoBaIR: A Python Library for Context-Based Intention Recognition in Human-Robot-Interaction
Human-Robot Interaction (HRI) becomes more and more important in a world...
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07/31/2023
End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
Legged locomotion is arguably the most suited and versatile mode to deal...
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07/26/2023
Towards Continuous Time Finite Horizon LQR Control in SE(3)
The control of free-floating robots requires dealing with several challe...
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07/07/2023
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
Recent advances in machine learning models allowed robots to identify ob...
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05/19/2023
EEG and EMG dataset for the detection of errors introduced by an active orthosis device
This paper presents a dataset containing recordings of the electroenceph...
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05/15/2023
AcroMonk: A Minimalist Underactuated Brachiating Robot
Brachiation is a dynamic, coordinated swinging maneuver of body and arms...
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11/28/2022
Analytic Estimation of Region of Attraction of an LQR Controller for Torque Limited Simple Pendulum
Linear-quadratic regulators (LQR) are a well known and widely used tool ...
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02/24/2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
In this work, we utilize Quantum Deep Reinforcement Learning as method t...
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02/04/2022
The influence of labeling techniques in classifying human manipulation movement of different speed
In this work, we investigate the influence of labeling methods on the cl...
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09/28/2021
The VVAD-LRS3 Dataset for Visual Voice Activity Detection
Robots are becoming everyday devices, increasing their interaction with ...
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06/02/2021
Grasp stability prediction with time series data based on STFT and LSTM
With an increasing demand for robots, robotic grasping will has a more i...
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01/26/2021
Design, analysis and control of the series-parallel hybrid RH5 humanoid robot
Last decades of humanoid research has shown that humanoids developed for...
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12/02/2020
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
Deep Reinforcement Learning (DRL) connects the classic Reinforcement Lea...
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10/29/2020
Black-Box Optimization of Object Detector Scales
Object detectors have improved considerably in the last years by using a...
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10/27/2020
Perception for Autonomous Systems (PAZ)
In this paper we introduce the Perception for Autonomous Systems (PAZ) s...
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08/06/2020
Learning Context-Adaptive Task Constraints for Robotic Manipulation
Constraint-based control approaches offer a flexible way to specify robo...
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07/29/2020
A Development Cycle for Automated Self-Exploration of Robot Behaviors
In this paper we introduce Q-Rock, a development cycle for the automated...
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07/03/2020
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Deep learning models are extensively used in various safety critical app...
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05/25/2020
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning
Motion planning is a difficult problem in robot control. The complexity ...
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02/29/2020
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms
Several publications are concerned with learning inverse kinematics, how...
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06/05/2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives
Recent success of machine learning in many domains has been overwhelming...
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03/13/2019
A Framework for On-line Learning of Underwater Vehicles Dynamic Models
Learning the dynamics of robots from data can help achieve more accurate...
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09/17/2018