5 citations · 9 across the 4 of their papers we have counts for
4 papers
CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag through Simulation
Rohit Dhakate, Thomas Jantos, Eren Allak +2
This paper introduces the Cable Robot Simulation and Control (CaRoSaC) Framework, which integrates a simulation environment with a model-free reinforcement learning control methodo…
AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry
Thomas Jantos, Martin Scheiber, Christian Brommer +3
Object-relative mobile robot navigation is essential for a variety of tasks, e.g. autonomous critical infrastructure inspection, but requires the capability to extract semantic inf…
MSCEqF: A Multi State Constraint Equivariant Filter for Vision-aided Inertial Navigation
Alessandro Fornasier, Pieter van Goor, Eren Allak +2
This letter re-visits the problem of visual-inertial navigation system (VINS) and presents a novel filter design we dub the multi state constraint equivariant filter (MSCEqF, in an…
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…