Bilatu
3-tik 1-3 emaitza erakusten
A review on reinforcement learning for contact-rich robotic manipulation tasks
(Elsevier, 2023)
Research and application of reinforcement learning in robotics for contact-rich manipulation tasks have exploded in recent years. Its ability to cope with unstructured environments and accomplish hard-to-engineer behaviors ...
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
(Springer, 2021)
Remanufacturing automation must be designed to be flexible and robust enough to overcome the uncertainties, conditions of the products, and complexities in the planning and operation of the processes. Machine learning ...
Shielded Reinforcement Learning: A review of reactive methods for safe learning
(IEEE, 2023)
Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ...