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Algorithm Controls

by   -   June 4, 2015

Researchers at ETH Zurich have developed a new algorithm for robustly controlling a tailsitter flying machine in hover position. Using the algorithm, the tailsitter is able to recover from any orientation, including upside down.

by   -   May 5, 2015

High-g-quadrocopter-trainingThis video shows tethered quadrocopters flying steadily together at high speeds exceeding 50 km/h in a confined space. With the tether exerting more than 13 gs of centripetal force, multiple quadrotors are able to fly 1.7m- radius circular trajectories in formation across different orientations in space and then successfully perform a coordinated braking maneuver.

by   -   April 21, 2015
Komekurayama Solar Power Plant owned and operated by TEPCO in Kofu, Yamanashi Prefecture. Source: Sakaori via Wikimedia Commons.
Komekurayama Solar Power Plant owned and operated by TEPCO in Kofu, Yamanashi Prefecture. Source: Sakaori via Wikimedia Commons.

Japan’s power industry is currently centralized, but it aims to deregulate by around 2020. Coupled with this major structural market change, the expansion of thermal, nuclear and renewable power generation will place additional demands on the management of the country’s energy market. Researchers from the Namerikawa lab at Keio University are working with control engineers, power engineers and economists to designing mechanical and control algorithms that can manage this large-scale problem.

by   -   October 15, 2014

We have developed a visually controlled bipedal running robot named ACHIRES: Actively Coordinated High-speed Image-processing Running Experiment System. This robot has a leg length of 14cm and 6 degrees of freedom, and can run in the sagittal plane at 4.2 km/h . Its key technologies are high-speed vision for recognizing the posture of the robot at 600 fps, and high-speed actuation for realizing high speed motion. The combination of these technologies plays an important role in the robot’s ability to run stably at high speeds.

by   -   October 8, 2014

Ant Intelligent Robot (AIR) is a small and powerful mobile robot platform that is designed to be used in a heterogeneous robotic swarm that is currently under development at the Laboratory of Artificial Intelligence and Multi-Agent Systems (AI-MAS) at the University “Politehnica” of Bucharest under the supervision of Prof. Adina Magda Florea. I made this video to depict the major development stages of the project.


Last December, an article named “Playing Atari with Deep Reinforcement Learning” was uploaded to arXiv by employees of a small AI company called DeepMind. Two months later Google bought DeepMind for 500 million euros, and this article is almost the only thing we know about the company . Currently our team is trying to replicate their artificial mind, and in this post we describe its inner workings.

by   -   September 22, 2014

The dance between human and machine has never looked quite like this.

by   -   September 8, 2014

For a couple of years I've been thinking about robots with internal models. Not internal models in the classical control-theory sense, but simulation-based models; robots with a simulation of themselves and their environment inside themselves, where that environment could contain other robots or, more generally, dynamic actors.

by   -   July 22, 2014

We’d like to know what you think. Will you miss driving your non-autonomous car? Why or why not?

by   -   July 21, 2014


Given a choice between crashing into a motorcyclist wearing a helmet vs. a motorcyclist who isn’t wearing one, which one should an autonomous car be programmed to crash into? What about the choice between crashing into an SUV vs. a compact car?

These are some of the dilemma situations Professor Patrick Lin brought forth in his WIRED article, The Robot Car of Tomorrow May Just be Programmed to Hit You.

by   -   April 3, 2014

Rafael NunezGuest talk in the ShanghAI Lectures, 2010-12-16

In this guest lecture, Rafael Núñez from the University of California, San Diego, USA, talks about Mathematics as a paradox for embodiment and cognitive mechanisms in conceptual systems and human imagination.

by   -   March 27, 2014

Nikolaos_MavridisGuest talk in the ShanghAI Lectures, 2010-12-16

The lecture starts with a short introduction to the Interactive Robots and Media Lab and the United Arab Emirates. Then, it continues by exploring some basic requirements towards creating Situated Conversational Assistants, i.e. devices with sensing, actuation, and spoken natural language which can assist humans in various tasks.

Robots Podcast: Robotic rehabilitation and biomimicry environmental monitoring, with Lei Cui
June 26, 2015

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