Robohub.org
 

Multi-purpose wings allow flying robot to walk across rough terrain


by and
26 July 2013



share this:

The Deployable Air Land Exploration Robot (DALER) uses its own wings to crawl and roll over a variety of terrains. Using a self-adjusting structure to transform its wings into rotating arms, the robot is able to flip, rotate and navigate its way around and over obstacles on the ground. Sharing the wings across different modes of locomotion reduces the amount of infrastructure and weight the robot must carry, thus improving flight performance. The ability to adapt to a variety of environments is important in search and rescue operations, where both air and ground searching may be required.

multi-modal_robot_Daler

First prototype of the Deployable Air Land Exploration Robot (DALER), from EPFL’s Laboratory of Intelligent Systems.

In applications such as exploration, search-and-rescue, or environmental monitoring, robots must be able to deal with very complex terrains, such as semi-collapsed buildings, deep caverns, or forests with heavy vegetation. Autonomous robots that can operate both in the air and on the ground are ideal for navigating these kinds of locations — for example, a robot may be needed to fly over a large forest, and then explore areas below the tree canopy. While many dual-locomotion systems already exist, most of these simply add specialized hardware for each locomotion method used (such as wings and wheels), adding both infrastructure and weight to the overall system, and hindering flight performance. Instead, DALER uses just one structure — the wing — to both walk and fly. This design approach is an example of “adaptive morphology”, where one part of a robot’s structure is adaptable and shared between different modes of operation.

The DALER is currently optimized for ground speed. The prototype shown in the video above can move forward at 0.2 m/s (0.7 BL/s), can rotate on spot at 25°/s, and is capable of walking with different gaits. Future iterations of the robot will focus on increasing the adaptability of the wings to improve forward flight, hover flight and displacement on the ground. For example, wings could be fully deployed for flying outdoors and reduced for hover flight and ground modes.

The DALER was developed at the Laboratory of Intelligent Systems at EPFL in Lausanne, Switzerland, where researchers investigate bio-inspired artificial intelligence, develop autonomous robotic systems, and address biological questions using computational and robotic models.

If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , ,


Ludovic Daler is a Ph.D student at the Laboratory of Intelligent Systems (LIS).
Ludovic Daler is a Ph.D student at the Laboratory of Intelligent Systems (LIS).

Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large





Related posts :



CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.

Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules

  07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.

Teaching robots to map large environments

  05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.

Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.



 

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