28 citations · 91 across the 9 of their papers we have counts for
10 papers
Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback
Rohit Dhakate, Christian Brommer, Christoph Böhm +2
This article presents an entirely data-driven approach for autonomous control of redundant manipulators with hydraulic actuation. The approach only requires minimal system informat…
UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization
Giulio Delama, Farhad Shamsfakhr, Stephan Weiss +2
This paper introduces UVIO, a multi-sensor framework that leverages Ultra Wide Band (UWB) technology and Visual-Inertial Odometry (VIO) to provide robust and low-drift localization…
AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities
Thomas Jantos, Christian Brommer, Eren Allak +2
The capability to extract task specific, semantic information from raw sensory data is a crucial requirement for many applications of mobile robotics. Autonomous inspection of crit…
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation
Thomas Jantos, Mohamed Amin Hamdad, Wolfgang Granig +2
Accurate 6D object pose estimation is an important task for a variety of robotic applications such as grasping or localization. It is a challenging task due to object symmetries, c…
Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration
Alessandro Fornasier, Yonhon Ng, Christian Brommer +3
Stochastic filters for on-line state estimation are a core technology for autonomous systems. The performance of such filters is one of the key limiting factors to a system's capab…
COP: Control & Observability-aware Planning
Christoph Böhm, Pascal Brault, Quentin Delamare +2
In this research, we aim to answer the question: How to combine Closed-Loop State and Input Sensitivity-based with Observability-aware trajectory planning? These possibly opposite…