State-of-the-Art control strategies for robotic PiH assembly
Nowadays, industrial robots have been widely applied for performing position-controlled
tasks with minimum contact such as spot welding, spray painting, packing, and material …
tasks with minimum contact such as spot welding, spray painting, packing, and material …
Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges
Teleoperation provides a promising way for human–robot collaboration in the unknown or
unstructured environments to perform a cooperative task. It enables humans to complete a …
unstructured environments to perform a cooperative task. It enables humans to complete a …
Human-assisted robotic detection of foreign object debris inside confined spaces of marine vessels using probabilistic map**
B Wong, W Marquette, N Bykov, TM Paine… - Robotics and …, 2023 - Elsevier
Many complex vehicular systems, such as large marine vessels, contain confined spaces
like water tanks, which are critical for the safe functioning of the vehicles. It is particularly …
like water tanks, which are critical for the safe functioning of the vehicles. It is particularly …
A negotiation-theoretic framework for control authority transfer in mixed-initiative robotic systems
This paper addresses the problem of transfer of control authority between a robot's AI and a
remote human operator, when controlling a Mixed-Initiative (MI) robotic system. We propose …
remote human operator, when controlling a Mixed-Initiative (MI) robotic system. We propose …
A hierarchical variable autonomy mixed-initiative framework for human-robot teaming in mobile robotics
D Panagopoulos, G Petousakis… - 2022 IEEE 3rd …, 2022 - ieeexplore.ieee.org
This paper presents a Mixed-Initiative (MI) framework for addressing the problem of control
authority transfer between a remote human operator and an AI agent when cooperatively …
authority transfer between a remote human operator and an AI agent when cooperatively …
Traded control of human–machine systems for sequential decision-making based on reinforcement learning
Sequential decision-making (SDM) is a common type of decision-making problem with
sequential and multistage characteristics. Among them, the learning and updating of policy …
sequential and multistage characteristics. Among them, the learning and updating of policy …
1, 2, or 3 in a HAT? How a human-agent team's composition affects trust and cooperation
DM Nguyen - 2020 - repository.fit.edu
Modern advances in technology have enabled a collaborative relationship between man
and machine. Many industries have adopted these human-agent teams, yet human …
and machine. Many industries have adopted these human-agent teams, yet human …
Teleoperation in Assembly: Effects of Different Visualization Methods on Performance and Workload of Expert and Non-Expert Operators
E Mamaladze - 2024 - mediatum.ub.tum.de
Teleoperation stands as a potential solution for hybrid assembly, combining the strengths of
both the technical system and the human operator. With this tool for remote assembly …
both the technical system and the human operator. With this tool for remote assembly …
Managing off-nominal events in shared teleoperation with learned task compliance
This article studies imitation learning policies that encode task compliance to provide
teleoperation assistance for remote manufacturing. The central challenge is how to handle …
teleoperation assistance for remote manufacturing. The central challenge is how to handle …