Multi-log grasping using reinforcement learning and virtual visual servoing
We explore multi-log grasping using reinforcement learning and virtual visual servoing for
automated forwarding in a simulated environment. Automation of forest processes is a major …
automated forwarding in a simulated environment. Automation of forest processes is a major …
Reinforcement learning control for autonomous hydraulic material handling machines with underactuated tools
The precise and safe control of heavy material handling machines presents numerous
challenges due to the hard-to-model hydraulically actuated joints and the need for collision …
challenges due to the hard-to-model hydraulically actuated joints and the need for collision …
[图书][B] A Machine Learning Approach to Grasp Planning for Forestry Log-loading
E Ayoub - 2023 - search.proquest.com
Automation in the forestry sector is largely dependent on the possibility of automating log-
loading processes. Although currently proposed techniques have shown potential, they …
loading processes. Although currently proposed techniques have shown potential, they …
Reinforcement Learning: Case Studies in Single Pendulum Control and Timber Crane Grasping
F Lechner - 2023 - repositum.tuwien.at
This thesis investigates the application of reinforcement learning (RL), a machine learning
paradigm that learns from experience, to automate a specific task in timber harvesting …
paradigm that learns from experience, to automate a specific task in timber harvesting …