Archive for the ‘Podcast’ Category

September 20th, 2013

Robots: Origami Robots - Transcript

In this episode Matthew Schroyer speaks with Nick Kohut, CEO of Dash Robotics, about their foldable hexapod robot and the ongoing crowdfunding campaign to get them into the hands of budding engineers, kids and hobbyists.

Dash is the result of years of research in fast prototyping of bioinspired robots at Ron Fearing’s Biomimietic Millisystems Lab at UC Berkeley (see Fearing Podcast or Hoover Podcast). The palm-sized origami robot is now available for the general public to build and program. The robot takes inspiration from insect locomotion by using compliant and light weight hardware to drive over difficult terrain without using any complex controllers (see Bob Full podcast). You can check out their Dragon crowdfunding campaign for a chance to get one of the first 1000 robots. The campaign ends on October 2nd.

Nick Kohut
Nick Kohut is the co-founder and CEO of Dash Robotics. He is also a postdoc at Stanford University in Mark Cutkosky’s Biomimetics and Dextrous Manipulation Laboratory, working on a variable stiffness suspension element for humanoid robotics. He received his Ph.D. in Mechanical Engineering at the University of California, Berkeley, in Ron Fearing’s Biomimetic Millisystems Lab, developing small legged robots. His research focused on the development of an active tail to enable high speed turning. In the past, he also did research on centimeter scale robots, and using GPS and traffic information to improve fuel economy.

Links:

| More

Related episodes:

September 6th, 2013

Robots: Construction with Amorphous Materials - Transcript

In this episode we speak with Nils Napp from the Self-organizing Systems Research Group at the Wyss Institute at Harvard University.

Napp tells us about his project to create robots that can reliably build structures in uncertain, unstructured terrain. Like termites that can build complex structures using shapeless materials like mud, his robots build structures out of foam, toothpicks or bags of sand. As a first example, he’s been working on ramp building in chaotic environments remnant of disaster scenarios. Focus is given to designing algorithms that allow the robot to build up the ramp using only local information and without any preplanning. These features allow his algorithms to be scaled to multiple robots, thereby speeding up the process. Finally, Napp tells us about the challenges he faces when working with such materials, the steps needed to bring these robots out of the lab and tradeoffs with classical construction techniques. He also introduces us to his latest work in synthetic biology.


And here’s an example of another SSR robot using amorphous material by Christian Ahler.

Nils Napp
Nils Napp is a postdoctoral fellow at Radhika Nagpal’s Self-organizing Systems Research Group at the Wyss Institute for Biologically Inspired Engineering at Harvard University. Before coming to Harvard, Nils Napp received his Master and PhD in Electrical Engineering from the University of Washington where he worked at the Klavins lab on Robotic Chemistry and Programmable Parts.

His main research focus is on control strategies for groups of robots and other distributed systems. Ultimately, he hopes to make self-organized systems that like biological systems are able to reliably work in random, unstructured, and fluctuating environments.

Links:

| More

Related episodes:

May 31st, 2013

Robots: Curved Artificial Compound Eye

In this episode, we speak with Ramon Pericet and Michal Dobrzynski from EPFL about their Curved Artificial Compound Eye (CurvACE) published in the Proceedings of the National Academy of Sciences. Inspired by the fly’s vision system, their sensor can enable a large range of applications that require motion detection using a small plug-and-play device. As shown in the video below, you could use these sensors to control small robots navigating an environment, even in the dark, or equip a small autonomous flying robot with limited payload. Other applications include home automation, surveillance, medical instruments, prosthetic devices, and smart clothing.


The artificial compound eye features a panoramic, hemispherical field of view with a resolution identical to that of the fruitfly in less than 1 mm thickness. Additionally, it can extract images 3 times faster than a fruitfly, and includes neuromorphic photoreceptors that allow motion perception in a wide range of environments from a sunny day to moon light. To build the sensors, the researchers align an array of microlenses, an array of photodetectors, and a flexible PCB that mechanically supports and electrically connects the ensemble.

This work is part of the European Project Curvace which brings together a total of 15 people from four partners in France, Germany and Switzerland.

You can read our full coverage about this new sensor on Robohub.

Ramon Pericet Camara
Ramon Pericet Camara is the scientific coordinator for the CurvACE project and a postdoctoral researcher at the Laboratory of Intelligent Systems at EPFL. His research interests are oriented towards bio-inspired robotics, soft robotics, and soft-condensed matter physics.

Ramon received a Masters degree in Physics in 2000 from the University of Granada (Spain) and a PhD in Multidisciplinary Research from the University of Geneva (Switzerland) in 2006. Subsequently, he was granted a fellowship for prospective researchers from the Swiss National Science Foundation to join the Max Planck Institute for Polymer Research in Mainz (Germany).

Michal Dobrzynski
Michal Dobrzynski is a PhD student at the Laboratory of Intelligent Systems at EPFL. He obtained his master degree in Automatic Control and Robotics in 2006 from the Warsaw Technical University (Poland). He then joined the SGAR S.L. Company (Barcelona, Spain) as a Robot and PLC Software Engineer where his work focused on industrial robots and automatic lines programming and visualization. Next, in 2007, he joined a Numerical Method Laboratory at the University Politechnica of Bucharest (Romania) where he spent two years working in the FP6 “Early Stage Training 3″ project as a Researcher.




Links:

| More

Related episodes:

May 3rd, 2013

Robots: Controlled Flight of Insect-sized Robots

In this episode we hear from researchers at the Harvard Microrobotics Lab about the Science paper published today reporting on the first controlled flight of an insect-sized robot. The amazing high-speed video below shows the robot taking off, hovering in place and steering left and right. This work is part of the Robobees project that aims to make swarms of insect robots. You can read our full coverage on Robohub.




Kevin Ma, Pakpong Chirarattananon and Sawyer Fuller
Kevin Ma and Pakpong Chirarattananon are graduate student researcher at the Harvard Microrobotics Lab working with Prof. Robert Wood (listen to Wood’s podcast here). Kevin studies the design and manufacturing of very small-scale robots while Pakpong’s work focuses on flight control strategies for flapping wing robots. Sawyer Fuller is a postdoctoral researcher with experience in the control and sensing of biological and robotic flies.

Links:

| More

Related episodes:

February 22nd, 2013

Robots: Insect-inspired Navigation

In this episode Per talks to Michael Mangan from the University of Edinburgh about using robotics to study and replicate insect behaviour. Mangan describes his studies of desert ants, that are able to accurately navigate arduous environments despite having a very small brain (less than 400 000 neurons). This is an interesting problem as the desert environment is very challenging, it is too hot for pheromone navigation and nearly featureless, making visual navigation difficult.

Michael Mangan
Michael Mangan started by training as an avionics engineer at the University of Glasgow, later deciding to specialize in robotics after taking a course. At that time he was particularly inspired by some of the biorobotics projects in the press such as MIT’s Robot Tuna and Penguin Boat projects. He was very interested in this approach promising improved performance for engineering tasks by taking inspiration from biological systems solving similar problems.

Keen to work in this area he then moved to the Insect Robotics Lab, at the University of Edinburgh to undertake a PhD with Prof. Barbara Webb (see previous podcast interview). This lab combines robotics techniques with animal behavioural experiments in a synergistic loop aimed at revealing how these organisms achieve such impressive behaviors, despite their limited neural hardware and often low-resolution sensory systems. Revealing the parsimonious techniques used by these animals may then allow us to apply them to robotic systems.

Mangan’s current research focuses on the navigational abilities of desert ants. These ants scavenge for food over long distances despite searing surface temperatures when pheromone trails evaporate too quickly to use for guidance. Instead the ants rely mainly on visual cues for guidance. He has recently documented the impressive individual route following behavior of desert ants in southern Spain, and mapped their habitat for the first time. This has allowed the first rigorous testing of robotic and biologically plausible models of navigation in the ant world, as viewed by the ant.

Mangan is currently constructing these virtual worlds for public use and they will be available from www.AntNav.org. This webpage is currently under development but he hopes to have initial data uploaded soon, so stay tuned.

Links:

| More

Related episodes: