Robohub.org
 

Real-time behavior-based control


by
22 February 2011



share this:

Using behavior-based controllers, robots are theoretically able to rapidly react to their environment. This is typically done by having several behaviors, that map sensory input to actuator commands, run concurrently on the robot. A hierarchy then determines which behavior has access to the actuators.

If your robot needs to navigate a room, you might implement a trajectory planning behavior and a simple obstacle avoidance behavior with high priority to avoid any accidents. If the robot only has one processor, then both behaviors might run in “parallel” as threads. However, if one of your behaviors entails heavy processing, it might hog all the CPU power and impeach the high-priority behaviors from being executed at the right time. In the example above, this might lead to the robot crashing into obstacles. One solution consists in increasing the processing power although this might be incompatible with the size and cost constraints of your robot.

As an alternative, Woolley et al. propose a “Real-Time Unified Behavior Framework” to cope with real-time constraints in behavior-based systems. The framework allows time-critical reactive behaviors to be run at a desired time and in a periodic fashion. Instead, demanding processing tasks that are not critical to the safe operation of the robot are executed whenever possible. This is done by moving time-critical behaviors out of the Linux environment (which can not execute real-time tasks) and into an environment managed by a real-time scheduler.

Real-time tasks bypass Linux and run on the real-time scheduler.

Experiments were conducted on a Pioneer P2-AT8 robot equipped with 16 sonars, odometry, a SICK LMS200 laser scanner and a 1294 camera. The robot was programed to follow an orange cone through a hallway while avoiding obstacles. Results show that the robot was able to meet hard real-time constraints while running computationally demanding processes including FastSLAM.




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

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.

Humanoid robots can sprint and box – but the real test is doing the laundry

  12 Oct 2026
No robot system can yet reliably handle the whole laundry process. Even folding remains a challenge.

Robot Talk Episode 165 – Robots behind the research, with Kushant Patel

  09 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Kushant Patel from Brookhaven National Laboratory about robots that work in scientific facilities, such as particle accelerators.

What three days building a robot taught me

and   07 Oct 2026
The brief sounded simple: build a small autonomous robot, then make it survive increasingly difficult mazes. Simple... right? Until you actually have to build one.

Research could guide the future design of social robots

  05 Oct 2026
Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which could help guide the growing field of social robotics.

Robot Talk Episode 164 – Accelerating robot learning, with Michelle Lu

  02 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Michelle Lu from Vsim Technology about using simulation and artificial intelligence to teach robots new skills.

Robotics and automation? Informal reflections on familiar terms

IEEE experts reflect on what is meant by the term "robotics and automation".


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence