Robohub.org
 

Firmer footing for robots with smart walking sticks


by
26 November 2014



share this:
The idea of SupraPeds is to increase locomotion stability by incorporating a pair of actuated smart staffs with vision and force sensing that transforms biped humanoids into multi-legged robots. Credit: Oussama Khatib, Stanford University; Shuyun Chung, Stanford University.

The idea of SupraPeds is to increase locomotion stability by incorporating a pair of actuated smart staffs with vision and force sensing that transforms biped humanoids into multi-legged robots. Credit: Oussama Khatib, Stanford University; Shuyun Chung, Stanford University.

Anyone who has ever watched a humanoid robot move around in the real world — an “unstructured environment,” in research parlance — knows how hard it is for a machine to plan complex movements, balance on uneven surfaces or traverse levels.

Quadruped robots, like Boston Dynamic’s BigDog, seem to be more adept, but don’t have the ability to use their hands to open doors or pull people from rubble.

Humans have trouble balancing sometimes too — say when climbing a mountain or walking on ice. In many cases, people turn to a trusted and time-tested tool: the walking staff.

“Efforts to make robots emulate humans have ignored an important fact: whenever humans approach their limits, they augment their capabilities with a diverse variety of assistive tools,” said Shuyun Chung, a postdoc working with Oussama Khatib in the Stanford University Artificial Intelligence lab.

“Perhaps the most useful tool is the walking staff, which improves support, enables load redistribution and can also be used as a sensor to probe the stability of planned footsteps.”

Researchers at Stanford University have been developing a robotic platform they call SupraPed that uses “smart staffs,” inspired by walking sticks, to better balance and traverse terrain.

Working in disaster recovery situations, the SupraPed can use the staffs to explore the terrain around them, expand the range of movements that are possible and even communicate a sense of touch to a human at a remote site, who can use that data to plan the robot’s movements.

Their work is supported by a grant from the National Science Foundation through the National Robotics Initiative, an effort to develop the next generation of robots that work beside or cooperatively with people.

 A diagram showing some of the technologies incorporated into SupraPeds' actuated smart staffs. Credit: Oussama Khatib, Stanford University; Shuyun Chung, Stanford University.


A diagram showing some of the technologies incorporated into SupraPeds’ actuated smart staffs. Credit: Oussama Khatib, Stanford University; Shuyun Chung, Stanford University.

The smart staff is no simple stick. It’s equipped with 3-D vision capabilities and tactile sensors that can assess the topography of the surface, the friction of the material, its ability to sustain weight and other information relevant to planning the robot’s next move.

Just as we might poke a rock to see how stable it is before we jump on it to cross a creek, SupraPed can use its smart staffs to test the ground before it takes a step.

But endowing SupraPed or other future robots with increased mobility isn’t simply a question of handing a robot a computerized stick. The Stanford team needed to create a suite of new algorithms and control mechanisms to allow the robot to incorporate and control the staff.

Among the challenges they had to overcome in the research was that of balancing a changing center of mass during an activity. This is difficult in rough, irregular terrain and more so with a system that uses input from four independent surfaces to balance and move.

The Stanford research team developed new mathematical formulations of the relationship between internal forces and movement control, allowing them to surmount existing problems and provide improved stability for the SupraPed.

Before developing a physical prototype of their system, the researchers first ran SupraPed through a series of simulated tests using the Simulation and Active Interface framework developed in their lab. The simulations placed SupraPed in series of challenging terrains–outcroppings of rubble–and tested how the robotic platform reacted when it encountered obstacles.

In each simulation, the robot plants its smart staffs, testing its firmness just as an expert hiker might, and swings its foot forward, moving from one balanced position to the next.

Using the algorithms developed by the Stanford team, it almost never falls.

The team presented their work at the IEEE International Conference on Robotics and Automation. The first prototype of smart staff has been designed and fabricated, and is being tested in the lab environment. The researchers hope that one day, the telescopic staff easily can be integrated with any human-size humanoid robot.

“Although research on rescue robots working in hazardous environments has made tremendous progress over the past decade,” Chung said, “we believe that SupraPeds will bring a whole new level of mobility and manipulation for humanoid robots.”

The SupraPeds also herald a future where robots, like humans, use tools to augment their abilities.

Investigators
Oussama Khatib
Shuyun Chung

Related Institutions/Organizations
Stanford University

Related Programs
National Robotics Initiative 

 



tags: , , ,


the National Science Foundation (NSF) is an independent federal US agency created to promote the progress of science.
the National Science Foundation (NSF) is an independent federal US agency created to promote the progress of science.


Subscribe to Robohub newsletter on substack



Related posts :

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.

A multi-armed robot for assisting with agricultural tasks

  18 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence