activity
20222026
most citedMachine Learning-based Framework for Optimally Solving the Analytical Inverse Kinematics for Redundant Manipulators

45 citations · 59 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Spatially-Aware Adaptive Trajectory Optimization with Controller-Guided Feedback for Autonomous Racing

Alexander Wachter, Alexander Willert, Marc-Philip Ecker +1

We present a closed-loop framework for autonomous raceline optimization that combines NURBS-based trajectory representation, CMA-ES global trajectory optimization, and controller-g…

cs.RO2026

SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-based Policies

Thies Oelerich, Gerald Ebmer, Christian Hartl-Nesic +1

The emerging integration of robots into everyday life brings several major challenges. Compared to classical industrial applications, more flexibility is needed in combination with…

cs.RO2025

Systematic Evaluation of Trade-Offs in Motion Planning Algorithms for Optimal Industrial Robotic Work Cell Design

G. de Mathelin, C. Hartl-Nesic, A. Kugi

The performance of industrial robotic work cells depends on optimizing various hyperparameters referring to the cell layout, such as robot base placement, tool placement, and kinem…

cs.RO2025

Incremental Language Understanding for Online Motion Planning of Robot Manipulators

Mitchell Abrams, Thies Oelerich, Christian Hartl-Nesic +2

Human-robot interaction requires robots to process language incrementally, adapting their actions in real-time based on evolving speech input. Existing approaches to language-guide…

cs.RO2024★ 1 cited

Model Predictive Trajectory Planning for Human-Robot Handovers

Thies Oelerich, Christian Hartl-Nesic, Andreas Kugi

This work develops a novel trajectory planner for human-robot handovers. The handover requirements can naturally be handled by a path-following-based model predictive controller, w…

cs.CV2023★ 3 cited

Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers

Gerald Ebmer, Adam Loch, Minh Nhat Vu +5

Real-time applications for autonomous operations depend largely on fast and robust vision-based localization systems. Since image processing tasks require processing large amounts…

cs.RO2022★ 45 cited

Machine Learning-based Framework for Optimally Solving the Analytical Inverse Kinematics for Redundant Manipulators

Minh Nhat Vu, Florian Beck, Michael Schwegel +3

Solving the analytical inverse kinematics (IK) of redundant manipulators in real time is a difficult problem in robotics since its solution for a given target pose is not unique. M…

cs.RO2022

Singularity Avoidance with Application to Online Trajectory Optimization for Serial Manipulators

Florian Beck, Minh Nhat Vu, Christian Hartl-Nesic +1

This work proposes a novel singularity avoidance approach for real-time trajectory optimization based on known singular configurations. The focus of this work lies on analyzing kin…

cs.RO2022★ 10 cited

Sampling-Based Trajectory (re)planning for Differentially Flat Systems: Application to a 3D Gantry Crane

Minh Nhat Vu, Michael Schwegel, Christian Hartl-Nesic +1

In this paper, a sampling-based trajectory planning algorithm for a laboratory-scale 3D gantry crane in an environment with static obstacles and subject to bounds on the velocity a…