Latest Articles (10+)
A concept in development at NASA’s Jet Propulsion Laboratory would allow potential planetary missions to chase interesting clues in subsurface oceans.
EPFL researchers have used swarms of drones to measure city traffic with unprecedented accuracy and precision. Algorithms are then used to identify sources of traffic jams and recommend solutions to alleviate traffic problems.
The research objective is to accurately represent the three-dimensional flows and turbulence in the lowest layer of the atmosphere.
In Jimmy Wu’s apartment, a scrum of mini robots bump, swerve, and zip chaotically across a tabletop. It looks like an aggressive bumper car rally, but within a few minutes, order emerges.
SAFELOG equips new AGV generation with wireless power supply as a standard
Research could enable monitoring of our oceans or exploration of alien ocean worlds
In this episode, we talk about how robotic systems are being leveraged to assist farmers in streamlining their operations.
The use of adaptive swarm robotics has the potential to provide significant environmental and economic benefits to smart agriculture efforts globally through the implementation of autonomous ground and aerial technologies.
Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.
Getting swarms of robots to work collectively can be equally challenging, unless researchers carefully choreograph their interactions — like planes in formation — using increasingly sophisticated components and algorithms.
A research team at the Georgia Institute of Technology has developed a modular solution for handling larger packages without the need for a complex fleet of drones of varying sizes.
Mini robots that can roll, fly, float and swim, then morph into a single machine? Together they form Shapeshifter, a developing concept for a transformational vehicle to explore treacherous, distant worlds.
A new study reported by researchers at the Georgia Institute of Technology describes how the worms self-organize to act as entangled “active matter" creating surprising collective behaviors whose principles have been applied to help blobs of simple robots evolve their own locomotion.