[HTML][HTML] Robot learning from demonstration in robotic assembly: A survey
Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …
Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing
C Chen, Y Wang, ZT Gao, FY Peng, XW Tang… - Science China …, 2022 - Springer
With the rapid advancement of manufacturing in China, robot machining technology has
become a popular research subject. An increasing number of robots are currently being …
become a popular research subject. An increasing number of robots are currently being …
Teaching a robot the semantics of assembly tasks
We present a three-level cognitive system in a learning by demonstration context. The
system allows for learning and transfer on the sensorimotor level as well as the planning …
system allows for learning and transfer on the sensorimotor level as well as the planning …
Robot control parameters auto-tuning in trajectory tracking applications
Autonomy is increasingly demanded to industrial manipulators. Robots have to be capable
to regulate their behavior to different operational conditions, adapting to the specific task to …
to regulate their behavior to different operational conditions, adapting to the specific task to …
[HTML][HTML] Collaborative programming of robotic task decisions and recovery behaviors
Programming by demonstration is reaching industrial applications, which allows non-experts
to teach new tasks without manual code writing. However, a certain level of complexity, such …
to teach new tasks without manual code writing. However, a certain level of complexity, such …
Simultaneous learning of hierarchy and primitives for complex robot tasks
We present a new interaction paradigm for robot learning from demonstration, called
simultaneous learning of hierarchy and primitives (SLHAP), in which information about …
simultaneous learning of hierarchy and primitives (SLHAP), in which information about …
[HTML][HTML] Learning, improving, and generalizing motor skills for the peg-in-hole tasks based on imitation learning and self-learning
We propose a framework based on imitation learning and self-learning to enable robots to
learn, improve, and generalize motor skills. The peg-in-hole task is important in …
learn, improve, and generalize motor skills. The peg-in-hole task is important in …
Co-manipulation with a library of virtual guiding fixtures
Virtual guiding fixtures constrain the movements of a robot to task-relevant trajectories, and
have been successfully applied to, for instance, surgical and manufacturing tasks. Whereas …
have been successfully applied to, for instance, surgical and manufacturing tasks. Whereas …
[PDF][PDF] Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions.
Learning from demonstration (LfD) seeks to democratize robotics by enabling non-experts to
intuitively program robots to perform novel skills through human task demonstration. Yet, LfD …
intuitively program robots to perform novel skills through human task demonstration. Yet, LfD …
Iterative virtual guides programming for human-robot comanipulation
In human-robot comanipulation, virtual guides are an important tool used to assist the
human worker by reducing physical effort and cognitive overload during tasks …
human worker by reducing physical effort and cognitive overload during tasks …