Robohub.org
 

Shared control for wheelchairs


by
08 January 2011



share this:

To help aging populations with mobility, researchers are developing robotic wheelchairs. Typically, control switches between the user of the wheelchair and the robot when tasks become difficult or dangerous.

However, users sometimes become frustrated when losing control of the wheelchair and complete autonomy may lead to the patient losing certain capabilities (which are not practiced any more). Therefore, it is important to provide the right amount of help to the patient: no more, no less.

For this purpose, Urdiales et al. implement a control strategy where the robot and user continuously share control of the wheelchair. This is done by combining commands sent by the user using a joystick with commands computed by a potential field that ensures that the robot is repulsed from obstacles while being attracted to a goal. Both commands receive a weight based on how efficient the user and robot are at a given task. The resulting command is used to control the wheelchair.

The wheelchair, augmented with odometry and a frontal Hokuyo laser URG04-RX for localization and obstacle detection, was tested in a rehabilitation hospital by 30 users with different degrees of cognitive and physical disabilities. Users were asked to go through a door, proceed down a hallway, turn around in the hallway and come back. In other tests, users simply needed to go down a hallway.

All patients were successful at completing the navigation task using shared control. Furthermore, shared control improved performance of both the human and robot, helped patients learn how to use electric wheelchairs and avoided all collisions. Interestingly, shared control tends to equalize performance among patients with different disabilities, meaning the control is able to adapt to each patient’s needs.

In the future, Urdiales et al. plan on testing their system in more complex, human-like scenarios and with patients who have more severe disabilities.




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


Subscribe to Robohub newsletter on substack



Related posts :

I developed an app that uses drone footage to track plastic litter on beaches

  26 Feb 2026
Plastic pollution is one of those problems everyone can see, yet few know how to tackle it effectively.

Translating music into light and motion with robots

  25 Feb 2026
Robots the size of a soccer ball create new visual art by trailing light that represents the “emotional essence” of music

Robot Talk Episode 145 – Robotics and automation in manufacturing, with Agata Suwala

  20 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Agata Suwala from the Manufacturing Technology Centre about leveraging robotics to make manufacturing systems more sustainable.

Reversible, detachable robotic hand redefines dexterity

  19 Feb 2026
A robotic hand developed at EPFL has dual-thumbed, reversible-palm design that can detach from its robotic ‘arm’ to reach and grasp multiple objects.

“Robot, make me a chair”

  17 Feb 2026
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.

Robot Talk Episode 144 – Robot trust in humans, with Samuele Vinanzi

  13 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Samuele Vinanzi from Sheffield Hallam University about how robots can tell whether to trust or distrust people.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

and   12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

  10 Feb 2026
Sven honoured for his work on AI planning and search.



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence