Robohub.org
 

Underwater ROV keeps its eye on the target


by
09 November 2011



share this:

Underwater robots can be used to inspect water-bound structures such as ship hulls. Remote-operating these vehicles can be tricky if they are under-actuated, meaning you can’t fully control their motion. For example, you might command the robot to go forward but uncontrolled sway could result in the robot moving sideways. This can be challenging if you’re trying to inspect an object using a camera, and the object keeps slipping out of your field of view.

To solve this problem, Karras et al. propose a semi-autonomous control scheme that ensures the robot doesn’t lose sight of the inspection target. The control fuses information (using an asynchronous Modified Dual Unscented Kalman Filter) from sensors on the robot to estimate its position and attitude and correct its trajectory when needed.

Experiments were conducted in a test tank using an under-actuated underwater robot that uses only three thrusters. Information for sensor fusion is provided by an Inertial Measurement Unit (IMU), a camera, and two laser pointers which are parallel to the camera axis. By monitoring where the lasers point using the camera, the robot can figure out how it is moving with respect to the inspection target.

Results show the feasibility and applicability of the semi-autonomous control scheme. In the future, the authors hope to extend their approach to more difficult tasks such as inspecting fish farm nets.




Sabine Hauert is President of Robohub and Associate Professor at the Bristol Robotics Laboratory
Sabine Hauert is President of Robohub and Associate Professor at the Bristol Robotics Laboratory





Related posts :



#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

  15 Sep 2025
Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Robots to the rescue: miniature robots offer new hope for search and rescue operations

  09 Sep 2025
Small two-wheeled robots, equipped with high-tech sensors, will help to find survivors faster in the aftermath of disasters.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence