Augmented reality meets artificial intelligence in robotics: A systematic review
Recently, advancements in computational machinery have facilitated the integration of
artificial intelligence (AI) to almost every field and industry. This fast-paced development in …
artificial intelligence (AI) to almost every field and industry. This fast-paced development in …
Mimic: In-situ recording and re-use of demonstrations to support robot teleoperation
Remote teleoperation is an important robot control method when they cannot operate fully
autonomously. Yet, teleoperation presents challenges to effective and full robot utilization …
autonomously. Yet, teleoperation presents challenges to effective and full robot utilization …
Deep learning and mixed reality to autocomplete teleoperation
Teleoperation of robots can be challenging, especially for novice users with little to no
experience at such tasks. The difficulty is largely due to the numerous degrees of freedom …
experience at such tasks. The difficulty is largely due to the numerous degrees of freedom …
Online correction of task registration and robot models from user input
In application domains such as surgical robotics, fully autonomous control remains a long-
term ambition and the systems are mostly teleoperated. In this article, the presence of an …
term ambition and the systems are mostly teleoperated. In this article, the presence of an …
Incremental learning for enhanced personalization of autocomplete teleoperation
Remote controlling robots without any automated help is difficult due to various limitations.
Autocomplete mitigates this difficulty by automatically detecting and completing the intended …
Autocomplete mitigates this difficulty by automatically detecting and completing the intended …
Personalized autocomplete teleoperation: Real-time user adaptation using transfer learning with partial feedback
Autocomplete enhances teleoperation by recognizing operator intentions and automating
motions when instructed. This has shown to improve performance and reduce operator load …
motions when instructed. This has shown to improve performance and reduce operator load …
Autocomplete of 3D Motions for UAV Teleoperation
Tele-operating aerial vehicles without any automated assistance is challenging due to
various limitations, especially for inexperienced users. Autocomplete addresses this …
various limitations, especially for inexperienced users. Autocomplete addresses this …
Riding the Rollercoaster: Improving UAV Piloting Skills with Augmented Visualization and Collaborative Planning
Operating unmanned aerial vehicles (UAVs) in complex environments can be challenging,
particularly for inexperienced operators. This paper introduces a method aimed at …
particularly for inexperienced operators. This paper introduces a method aimed at …
Intelligent Mode-switching Framework for Teleoperation
Teleoperation can be very difficult due to limited perception, high communication latency,
and limited degrees of freedom (DoFs) at the operator side. Autonomous teleoperation is …
and limited degrees of freedom (DoFs) at the operator side. Autonomous teleoperation is …
3D Autocomplete: Enhancing UAV Teleoperation with AI in the Loop
Manually teleoperating a flying robot can be a demanding task, especially for users with
limited levels of experience. This is primarily due to the non-linear properties of such robots …
limited levels of experience. This is primarily due to the non-linear properties of such robots …