6 citations · 17 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
BoundPlanner: A convex-set-based approach to bounded manipulator trajectory planning
Thies Oelerich, Christian Hartl-Nesic, Florian Beck +1
Online trajectory planning enables robot manipulators to react quickly to changing environments or tasks. Many robot trajectory planners exist for known environments but are often…
Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory Replanning
Huy Hoang Nguyen, Minh Nhat Vu, Florian Beck +3
Combining a vision module inside a closed-loop control system for a \emph{seamless movement} of a robot in a manipulation task is challenging due to the inconsistent update rates b…
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…
Model Predictive Trajectory Optimization With Dynamically Changing Waypoints for Serial Manipulators
Florian Beck, Minh Nhat Vu, Christian Hartl-Nesic +1
Systematically including dynamically changing waypoints as desired discrete actions, for instance, resulting from superordinate task planning, has been challenging for online model…
BoundMPC: Cartesian path following with error bounds based on model predictive control in the joint space
Thies Oelerich, Florian Beck, Christian Hartl-Nesic +1
This work introduces the BoundMPC strategy, an innovative online model-predictive path-following approach for robot manipulators. This joint-space trajectory planner allows the fol…
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…
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Dinh Vuong, Minh Nhat Vu, Hieu Le +5
Foundation models such as ChatGPT have made significant strides in robotic tasks due to their universal representation of real-world domains. In this paper, we leverage foundation…