Autonomous Visual Assistance for Robot Operations Using a Tethered UAV
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Abstract (arXiv)
This paper develops an autonomous tethered aerial visual assistant for robot operations in unstructured or confined environments. Robotic tele-operation in remote environments is difficult due to lack of sufficient situational awareness, mostly caused by the stationary and limited field-of-view and lack of depth perception from the robot's onboard camera. The emerging state of the practice is to use two robots, a primary and a secondary that acts as a visual assistant to overcome the perceptual limitations of the onboard sensors by providing an external viewpoint. However, problems exist when using a tele-operated visual assistant: extra manpower, manually chosen suboptimal viewpoint, and extra teamwork demand between primary and secondary operators. In this work, we use an autonomous tethered aerial visual assistant to replace the secondary robot and operator, reducing human robot ratio from 2:2 to 1:2. This visual assistant is able to autonomously navigate through unstructured or confined spaces in a risk-aware manner, while continuously maintaining good viewpoint quality to increase the primary operator's situational awareness. With the proposed co-robots team, tele-operation missions in nuclear operations, bomb squad, disaster robots, and other domains with novel tasks or highly occluded environments could benefit from reduced manpower and teamwork demand, along with improved visual assistance quality based on trustworthy risk-aware motion in cluttered environments.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Mar 2019.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 3.
5 papers.
- 2023STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experiencecited by 11
- 2024Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimizationcited by 4
- 2024Scaling Team Coordination on Graphs with Reinforcement Learningcited by 3
- 2022Robot Active Neural Sensing and Planning in Unknown Cluttered Environmentscited by 1
- 2024Aligning Robot Navigation Behaviors with Human Intentions and Preferencescited by 0
- 2024Aligning Robot Navigation Behaviors with Human Intentions and Preferences16 Sep 2024
- 2024Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization23 Apr 2024
- 2024Scaling Team Coordination on Graphs with Reinforcement Learning9 Mar 2024
- 2023STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience26 Sep 2023
- 2022Robot Active Neural Sensing and Planning in Unknown Cluttered Environments23 Aug 2022