3 papers
cs.RO2025
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…
cs.RO2025
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…
cs.CV2021
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks
Stefan Ainetter, Christoph Böhm, Rohit Dhakate +2
In this paper, we present a novel deep neural network architecture for joint class-agnostic object segmentation and grasp detection for robotic picking tasks using a parallel-plate…