5 papers · 1 filter
Autonomous Block Assembly for Boom Cranes with Passive Joint Dynamics: Integrated Vision MPC Control
Gerald Ebmer, Minh Nhat Vu, Tobias Glück +1
This paper presents an autonomous control framework for articulated boom cranes performing prefabricated block assembly in construction environments. The key challenge addressed is…
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…
GPU-Accelerated Motion Planning of an Underactuated Forestry Crane in Cluttered Environments
Minh Nhat Vu, Gerald Ebmer, Alexander Watcher +3
Autonomous large-scale machine operations require fast, efficient, and collision-free motion planning while addressing unique challenges such as hydraulic actuation limits and unde…
Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking
Minh Nhat Vu, Alexander Wachter, Gerald Ebmer +5
Forestry machines operated in forest production environments face challenges when performing manipulation tasks, especially regarding the complicated dynamics of underactuated cran…
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…