A survey of robot learning strategies for human-robot collaboration in industrial settings
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …
greater demand for manufacturers to be flexible with their products and services. This …
Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey
X Zhang, C Wang, L Jiang, L An, R Yang - Ocean Engineering, 2021 - Elsevier
The rapid development of artificial intelligence significantly promotes collision-avoidance
navigation of maritime autonomous surface ships (MASS), which in turn provides prominent …
navigation of maritime autonomous surface ships (MASS), which in turn provides prominent …
Human-aware robotic assistant for collaborative assembly: Integrating human motion prediction with planning in time
VV Unhelkar, PA Lasota, Q Tyroller… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
Introducing mobile robots into the collaborative assembly process poses unique challenges
for ensuring efficient and safe human-robot interaction. Current human-robot work cells …
for ensuring efficient and safe human-robot interaction. Current human-robot work cells …
Learning interaction-aware trajectory predictions for decentralized multi-robot motion planning in dynamic environments
This letter presents a data-driven decentralized trajectory optimization approach for multi-
robot motion planning in dynamic environments. When navigating in a shared space, each …
robot motion planning in dynamic environments. When navigating in a shared space, each …
A learning-based hierarchical control scheme for an exoskeleton robot in human–robot cooperative manipulation
Exoskeleton robots can assist humans to perform activities of daily living with little effort. In
this paper, a hierarchical control scheme is presented which enables an exoskeleton robot …
this paper, a hierarchical control scheme is presented which enables an exoskeleton robot …
Transfer learning of human preferences for proactive robot assistance in assembly tasks
We focus on enabling robots to proactively assist humans in assembly tasks by adapting to
their preferred sequence of actions. Much work on robot adaptation requires human …
their preferred sequence of actions. Much work on robot adaptation requires human …
Human-centered collaborative robots with deep reinforcement learning
We present a reinforcement learning based framework for human-centered collaborative
systems. The framework is proactive and balances the benefits of timely actions with the risk …
systems. The framework is proactive and balances the benefits of timely actions with the risk …
A review of prospects and opportunities in disassembly with human–robot collaboration
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …
of-use (EoU) products. However, the current manual disassembly process is inefficient due …
Learning interaction-aware guidance policies for motion planning in dense traffic scenarios
B Brito, A Agarwal, J Alonso-Mora - arXiv preprint arXiv:2107.04538, 2021 - arxiv.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
Intention‐aware robot motion planning for safe worker–robot collaboration
Recent advances in robotics have enabled robots to collaborate with workers in shared,
fenceless workplaces in construction and civil engineering, which can improve productivity …
fenceless workplaces in construction and civil engineering, which can improve productivity …