Last week Adrian and I presented our work on “Super Ball Bot” a tensegrity robot for planetary landing and exploration, at the NIAC (NASA Innovative Advanced Concepts) Program’s Spring Symposium. It was really fun to share all the progress we have made in the mission concept development and engineering analysis. The best aspect of this is that our work is supporting our initial intuition that this concept is workable and not as crazy as it initially sounded. Luckily for us, the NIAC program is designed to try out these high risk, but high pay-off, concepts for new technologies for space exploration. Thus, when the BBC interviewed us, we took it as a good sign that they called us “NASA’s crazy robot lab.” Balancing that view, Tech Buzzer called us “Not actually crazy. But certainly innovative and ambitious.” And while the Tech Buzzer article has many factual errors, they are right about the innovation and ambition — we are developing an idea that has never been tried before, and if it works (which we think it will — with a lot more hard work), then it could change the future of robotics and space exploration.
Watch the video below to find out more, and see my earlier post where I first described the project when we started (much has evolved since then!).
Currently, one of our most exciting areas of research is our exploration of the intersection of biology and tensegrity robots. The inspiration for this research comes from the idea of “Biotensegrity” pioneered by Dr. Steven Levin, which holds that tensegrity structures are a good model for how forces move through our bodies. Thus, instead of the common sense “bone-centric” model where force passes comprehensively from bone to bone, one should take a fascia-centric view that looks at the global fascia network (i.e. continuous chains of muscles and ligaments) as the primary load paths in the body. (For more info on fascia see my prior posts fascia, bones, and muscles, and Fascia and Motion.).
Tom Flemons' Tensegrity Model of the Spine
To date, the vast majority of tensegrity research has focused on static tensegrity structures, but it turns out that they have many qualities which make them well suited for motion, especially the type of motion required of a robot (or animal) moving in the real world outside the safety of factories or laboratories. As I discuss in an earlier post, these advantages largely center around how tensegrity structures can distribute forces into the structure, instead of accumulating and magnifying forces through leverage, which is what happens in a normal rigidly connected robot.
Using the Tensegrity Robotics Simulator that we have been developing over the last year, we have been exploring biologically inspired tensegrity robots. Our initial focus is on a “snake” or “spine” like tensegrity robot, which is inspired by the models of a tensegrity spine created by Tom Flemons. For ease of modeling, our “snake” uses tetrahedron shaped elements, which look different from vertebrae, but maintain a similar topology of connectivity. Thus, each “vertebrae” of our snake is connected and controlled by cables to the next “vertebrae” and has no rigid hinges or joints. Compared to a regular robotic snake, this approach has the advantage that forces are not magnified via leverage through the body. As a result, we are able to explore real distributed control approaches because local actions stay predominately local without the unexpected global consequences experienced in a rigid robot.
In the following video we show our simulated “tensegrity snake” moving over different terrains while using a distributed and decentralized oscillatory control system. This first experiment uses controls with no world knowledge or motion planning, yet we see that it is capable of traversing a variety of complex terrains. Brian Tietz, a NASA Space Technology Research Fellow from Case Western Reserve University’s BioRobotics lab has been developing the snake tensegrity simulation and controls.
We have focused on distributed force controls because we want to maximize the competence of the structure’s interaction with the environment in order to simplify higher-level goal-oriented task controls. This approach mirrors the division between the mammalian spine, which is decentralized and primarily concerned with forces and rhythm, and the mammalian brain, which is concerned with task based motion planning and interfacing with the highly competent spine/body for execution.
Our work on distributed controls is influenced by theories of neuroscience that focus on networks of Central Pattern Generators (CPG) for distributed control of complex coordinated behaviors. We implemented a distributed (one controller per string) version of impedance control (which balances the needs of force and length control) on our simulated “tensegrity snake” robot and experimented with a variety of oscillatory controls on string tension and length. The version shown in the video implements a two level controller for each string, where the higher level control produces an open-loop sine wave for the tension control, and the lower level performs stabilizing feedback on position and velocity.
We found that even with this simple reactive control, our robot could generate a variety of gaits and navigate a wide range of obstacles which would normally require motion planning and structure specific gaits. We believe that this high level of motion competence at the reactive structural level will lead to impressive capabilities as we continue to explore closed loop CPG controls. We have initially focused on mobility tasks because recent research shows that neural-controls of goal-oriented manipulation are based in the same oscillatory controls found in mobility. Thus, as we mature our understanding of this new technology we will be able to extend it to goal-oriented manipulation tasks as we incorporate task-space sensory information.
A prototype tensegrity "snake" robot which will be used to verify the algorithms developed in simulation
Finally, to see more about our other research into dynamic tensegrity robots, please see my recent post on our SuperBall Bot project, where we are developing a planetary landing and mobility system with a tensegrity robot. Also, I have a video of a lecture on tensegrity robots and our physiology and neuroscience.
On October 21st, my friend Katy and I are hosting a “How We Move” workshop that is a fusion of Robotics and Yoga. It will be at Bernal Yoga in SF, and you should buy your tickets ASAP since there will be limited room!
HOW WE MOVE: A Cross-Discipline Exploration. Fusing cutting edge research from human physiology, anatomy, neuroscience, robotics & yoga, this workshop will challenge commonly held assumptions about how our bodies move.
NASA Robotics Researcher Vytas SunSpiral will discuss the unique properties of tensegrity structures, connective tissue & communication systems as a foundational part of our bodies and how we move. Certified Hatha Yoga Instructor Katy Fox will then lead us through a yoga class designed to explore and embody the concepts presented in this lecture. Join us as we share a fresh perspective about form & function, providing insights into self-awareness and how we connect and interact with each other.
Recently we got the great news that we were awarded funding from NASA’s Office of Chief Technologist for the NASA Innovative Advanced Concept (NIAC) proposal “Super Ball Bot – Structures for Planetary Landing and Exploration.” The proposed research revolves around a radical departure from traditional rigid robotics to “tensegrity” robots composed entirely of interlocking rods and cables. Out of more than 600 white papers originally submitted, this proposal is one out of only 18 that were funded for 2012. Tensegrities, which Buckminster Fuller helped discover, are counter-intuitive tension structures with no rigid connections and are uniquely robust, light-weight, and deployable. Co-led by Vytas SunSpiral (Intelligent Robotics Group) and Adrian Agogino (Robust Software Engineering Group), and collaborating with David Atkinson of the University of Idaho, the project is developing a mission concept where a “Super Ball Bot” bounces to a landing on a planet, then deforms itself to roll to locations of scientific interest. This combination of functions is possible because of the unique structural qualities of tensegrities which can be deployed from small volumes, are lightweight, and can absorb significant impact shocks. Thus, they can be used much like an airbag for landing on a planetary surface, and then deformed in a controlled manner to roll the spacecraft around the surface to locations of scientific interest.
A concept drawing of the mission, where many Super Ball Bots could be deployed and bounce to a landing before moving and exploring the surface.
These unusual structures are hard to control traditionally so Vytas and Adrian are experimenting with controlling them using machine learning algorithms and neuroscience inspired oscillatory controls known as Central Pattern Generators (CPG’s). Adrian’s work on multiagent systems and learning provide robust solutions to numerous complex design and control problems. These learning systems can be adaptive, and can generate control solutions to complex structures too complicated to be designed by hand. This approach is well suited for tensegrity structures which are complex non-linear systems whose control-theory is still being developed. Vytas has been researching robotic manipulation and mobility for over a decade and in recent years has been focused on the game-changing capabilities of tensegrity robots due to their unique structural properties. His quest to tap their potential has lead him to investigate oscillatory control approaches from the field of neuroscience, such as Central Pattern Generators (CPG’s), which show promise for efficient control of these robots.
A concept drawing of the Super Ball Bot structure
While the Super Ball Bot project has just started, we already have some exciting initial results from the machine learning efforts. During the last year, Vytas led the development of a physics based tensegrity simulator built on-top of the open-source Bullet Physics Engine. We have been using that simulator to explore novel tensegrity structures and control approaches, and will write a separate post about the oscillatory control of a snake-like tensegrity robot and its ability to traverse many complex terrains with fully distributed control algorithms. The following video shows two drop tests where we simulate a tensegrity robot landing. The results confirm what we see in physical models in our lab, which is that these structures do a great job absorbing impact forces, even as we vary the stiffness of the strings.
Since the NIAC proposal was awarded, we have focused on evolving the motion controls of a rolling tensegrity robot and have early simulation results which show it safely rolling through a rocky terrain.
To date, most of the research into control of tensegrity robots has focused on slow motions which do not excite the dynamics of the structure. Wanting to show that tensegrity robots can be fast and dynamic movers, we are exploring what is possible when the structure is driven at the limits of dynamic stability.
To explore the maximum speed achievable by our tensegrity robot, Adrian’s intern, Atil Iscen, has been developing an evolutionary control approach where a large population of random tensegrity controllers are evaluated based on their ability to move the farthest distance within a fixed amount of time. Then, the worst performing members are eliminated from the population and the best ones are replicated and mutated, allowing the mutations of the good controllers to become even better.
Our best solutions so far evolve parameters to a distributed oscillatory controller where the lengths of groups of three cables (making a facet) are controlled by the values of a sine-wave. The job of evolution is then to control the phase offset, period, and amplitude of the sine wave for the strings. The breakthrough of this approach is that it enables fast dynamic motion, without requiring the computationally expensive modeling and analysis necessary for a centrally computed controller.
Our preliminary results show that tensegrity robots are indeed capable of fast dynamic motion, and that the evolutionary approach is successful at finding difficult to model dynamic controllers.
In the following video we show:
1) Slowly moving hand-crafted controller showing the difficulty of this problem.
2) An evolved controller showing high speed mobility
3) An evolved controller showing high speeds while handling rough terrain
While it is exciting to see such fast and dynamic motion from a tensegrity robot, rolling at the limits of stability is not the control approach we need for a space mission. When exploring another planet we need to balance the needs of making progress with concerns about energy efficiency and stability. Thus, we evolved a new controller with a tighter cap on the amount of stretch and energy available for each string. With that change we find results which appear stable and far more appropriate for exploration of a distant planet.
These results are preliminary and we expect to continue to improve the stability, energy efficiency, and terrain handling. Still, it is important to explore the upper limits of speed and dynamic performance. Further, we are establishing that evolutionary approaches are capable of parameter tuning and optimizing the performance of distributed control systems for dynamic tensegrity robots. This is important due to the deep challenges in hand crafting the dynamics of these complex and non-linear systems.
Moving forward we plan on exploring increasingly complex structures and distributed control architectures within which we will deploy our learning algorithms to tune performance. In other work we have already shown success at deploying distributed impedance control on tensegrity robots, along with compelling results from biologically inspired Central Pattern Generators (CPG’s). Both of these approaches require significant amounts of hand tuning of parameters, which our learning algorithms should be able to improve upon. Beyond the evolutionary approaches used so far, we also expect to explore multiagent control.
Here you will find my thoughts and reflections on the experience of being human. This covers everything from my ongoing research notes into robotic and human motion, biotensegrity, dynamical systems, oscillator based neuronal computation, to the mapping of the academic theories onto the experiences of yoga, dance, martial arts, ergonomics, healing, massage, energy work, psychology, and the art of being an excellent human being. The best way to navigate this site is via the category links under the header.
Based on my understanding of human physiology and motion, here are some quick reviews on my favorite ergonomic tools. These are the ones I use at home and at work. I will add more in-depth posts discussing the alignment theory as I get them written.
FitBall Sitting Disc
Sitting Discs are a great way to train for Active Sitting. By destabilizing the surface you are sitting on, they engage your core muscles and keep you in dynamic motion while your body actively balances on the disk. I recommend the larger 15" disc. In Depth Review
Salli Saddle Stool
The Salli saddle stools are one of the best stools for Active Sitting. They hold your pelvis upright, so that your spine can be well aligned with gravity, while also allowing your knees to be lower than your hips to keep your hamstrings and hip-flexors from shortening. Actively sitting takes effort, so increase your time in the saddle slowly.
3M Ergonomic Mouse
The vertical design keeps the arm in a well aligned neutral "handshake" position that prevents the shoulder from rolling forward. By keeping your shoulders back and the scapula flat on your back you avoid many of the common sources of wrist pain. This is the biggest bang for your buck if you are having wrist pain. It comes in small and large sizes (small is linked below). Sadly, I have only seen it for right hands.
Like the 3M mouse above, this keyboard allows you to have your hands in a more neutral vertical position which reduces many of the problems associated with wrist and shoulder pain. It also allows you to spread the key pads to be at shoulder width so that you don't have to twist your wrist like on a straight keyboard.
A sit stand desks allows you to dance while working! It also allows you change between a variety of different sitting options and standing so that you don't get stuck in one position. The best option that I have found is from GeekDesk.com. I have two from them and they are the cheapest and have held up well. You can save even more money by buying just the base frame from GeekDesk and getting the table top from Ikea. You save on price and shipping is significantly less this way.
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Books I Recommend
Sync: How Order Emerges From Chaos In the Universe, Nature, and Daily Life
This book blew my mind.
Really -- this was probably one of the most influential books I've read in a decade. This points straight at the heart of what we intuitively recognize as the difference between living breathing organic aspects of nature and the mechanistic nature of human engineered system. It all boils down to oscillators and their ability to synchronize. This basic mathematical property is the basis for all the order that we see in the world -- and our ability to move -- and our ability to relate to each other -- and really everything. This is an easy and engaging read, and you will come away with new eyes for the world.
Anatomy of Movement
This was the best book I have read for learning about the function of my own body and is endlessly useful for anyone who is alive and moving in the world. Ever have pain when you make a specific motion and wonder what is going on? This book will help you isolate the muscles responsible for that motion. By showing how each muscle moves your body under different conditions, you will learn their *use* rather than just memorizing a bunch of names.
Anatomy Trains: Myofascial Meridians for Manual and Movement Therapists
This book is great to see and understand the complex network of tension in the living body, and to learn about fascia and how it works.
Rhythms of the Brain
This recently published book covers cutting edge theories of how the brain works. The key focus is on how the brain relies heavily on coupled oscillatory networks, timing loops, and synchronization. It also discusses how the activity in the brain can be viewed as a dynamic tensegrity structure. A more technical book, but well worth the effort!