28 citations · 91 across the 9 of their papers we have counts for
8 papers · 1 filter
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…
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…
Equivariant Filter Design for Inertial Navigation Systems with Input Measurement Biases
Alessandro Fornasier, Yonhon Ng, Robert Mahony +1
Inertial Navigation Systems (INS) are a key technology for autonomous vehicles applications. Recent advances in estimation and filter design for the INS problem have exploited geom…
Why and How to Avoid the Flipped Quaternion Multiplication
Hannes Sommer, Igor Gilitschenski, Michael Bloesch +3
Over the last decades quaternions have become a crucial and very successful tool for attitude representation in robotics and aerospace. However, there is a major problem that is co…
Observability-Aware Trajectory Optimization for Self-Calibration with Application to UAVs
Karol Hausman, James Preiss, Gaurav Sukhatme +1
We study the nonlinear observability of a systems states in view of how well they are observable and what control inputs would improve the convergence of their estimates. We use th…