Ardian Jusufi
Max Planck Research Group Leader [~Assoc. Prof.]
Alumni
Note: Ardian Jusufi has transitioned from the institute (alumni).
Dr. Ardian Jusufi conducted his formal training at U.C. Berkeley, Harvard University, and the University of Cambridge. After serving as a lecturer from 2016, Ardian has been an independent Max Planck Research Group Leader [~Associate Professor] since 2018. He leads the group for Locomotion in Somatic and Biorobotic Systems at the MPI-IS, where he is Faculty at International Max Planck Research School IMPRS-IS. Ardian is Honorary Associate Professor of Macquarie University. Moreover, he is also an Associate Faculty at the ETH Center for Learning Systems. Ardian is a group leader at the Swiss Federal Laboratories for Materials Science and Technology. His research interests include biomimetic materials and mechanisms, integrative systems biomechanics, functional morphology, biomaterials, experimental validation with physical models, biorobotics, and Soft Robotics.
Dr. Ardian Jusufi positions his highly interdisciplinary research at the interface of engineering, materials science, and biomechanics. He specializes on soft active materials, biomimetics, and robotics inspired by original biomechanical discovery. Ardian is a pioneer in the biorobotic investigation of robust locomotion of robots underpinned by his discoveries of tails as control appendages enabling rapid disturbance rejection and multi-modal transitions. His research has been featured in leading journals including PNAS and Nature (both cover articles), Nature Communications bio, as well as Soft Robotics, Advanced Engineering Materials, and Current Biology.
With a goal to achieve the dream of life-like movement, he integrates soft actuators and flexible sensors made of hyperelastic silicone elastomers (containing liquid metal) and embeds them into a diving, soft robotic fish, for instance. Their integration enables new skills in swimming and arboreal robots to increase their ability to overcome obstacles. In contrast to robots with mostly hard components, the musculoskeletal system is capable of adapting to multiple dynamic perturbations simultaneously. Life-like movement not only expands upon robot capability, it also enables original discovery in experimental biomechanics. His research integrates robotics, ‘smart’ materials, with comparative biomechanics. In this spirit, Dr. Ardian Jusufi is a leader in the field of biorobotics enabled by biomimetic materials and mechanisms.
What is the research focus and the team’s vision? The past decade has presented a dramatic expansion in the development of mobile robots and the application of robotic systems to practical tasks. Despite the proliferation of computation and sensing at the small scale, robots still remain largely unable to access all but the most structured environments, and unable to reach the performances of natural systems. Physical intelligence development has lagged behind advances in AI. As the physicist Richard Feynman famously said: “What I cannot create, I do not understand”. The movement apparatus and bauplan is therefore subject of fundamental research.
The capability gap between nature and human-made devices is most apparent in locomotion. Biological organisms traverse various cluttered terrains (e.g. granular media) effortlessly, whereas even the most advanced robots get stuck. Biomechanical system robustness emerges from the interplay of materials and mechanics based solutions barely dreamt of by robotics engineers. Although novel computational solutions and biologically inspired mechanisms have advanced robot locomotion, most platforms are made of predominantly rigid parts, offering precision and control. By contrast, biological tissues consist in large part of water, making compliance ubiquitous in nature. Morphing structures such as fins, tails, and wings allow for shape changes on the body, thus enabling unparalleled multi-modal locomotion with multi-functional appendages. Soft active materials are now required to emulate and decipher the general principles of natural motion systems – Experimental robotics can advance motion science by breathing new life into physical models. Embodiment provides physical resilience by exploiting the morphological intelligence of the body to simplify control.
Experimental validation of gliding and climbing is measured in field research. However, the softest model systems are found under water. To this end, Dr. Jusufi’s research has shown that soft fluidic actuators made of silicone elastomers that enable shape changes on the body, facilitating body stiffness modulation during undulatory swimming in flow tanks. Electroactive polymers are also used in a fluid movement context. Fluidic soft sensors, in turn, provide proprioception for closed loop control.
Robophysical modelling thus unlocks nature’s secrets to maximum mobility and manipulation. Reverse-engineering nature’s patents offers design blueprints for resilient biomimetic devices that expand the reach of human experience with potential for diverse industry applications.
Recent Publications:
https://www.nature.com/articles/s42003-021-02378-6#Fig5
https://doi.org/10.1002/adem.202100121
https://academic.oup.com/icb/advance-article/doi/10.1093/icb/icab132/6304832
https://academic.oup.com/icb/advance-article/doi/10.1093/icb/icab182/6355439?login=true
https://onlinelibrary.wiley.com/doi/10.1002/aisy.202000244
https://academic.oup.com/icb/advance-article/doi/10.1093/icb/icab023/6261076?searchresult=1
https://www.tandfonline.com/doi/full/10.1080/01691864.2021.1887760
Curriculum Vitae: Dr. Ardian Jusufi graduated from the University of California at Berkeley, where most of his formal training took place. He moved to the University of Cambridge where he was a Queens' College Postdoctoral Research Associate. Subsequently, Ardian was a research scientist at Harvard University, under the supervision of Prof. Wood of the Harvard Microrobotics Laboratory at the School of Engineering and Applied Sciences and the Wyss Institute for Biologically-Inspired Engineering. He was a lecturer in Sydney before founding the Max Planck Research Group in 2018. His research group is an integral part, in fact one of the first research groups of the Cyber Valley ecosystem. Ardian has been a Max Planck Research Group Leader [~Associate Professor] at the MPI for Intelligent Systems (formerly Metals Research) for over three years.
Awards & Honors (Selected)
OutstandingTeaching Award for G.S.Instructors – U.C.Berkeley.
William V. Power Award – U.C.Berkeley.
Queens’ College Postdoctoral Research Associate, Cambridge University.
Darwin College Postdoctoral Research Affiliate, Cambridge University.
Best Poster Presentation – 8thInternational Symposium Adaptive Motion in Animals and Machines, Japan.
Best Presentation Competition,Runner-up, Soc. Int. Comp. B. Annual main conference.
Invited Speaker ICRA 2022
Invited Symposium Speaker SICB 2021
Invited Speaker RSS 2019
Soft Active Materials Biomimetic Materials morphological intelligence soft sensors actuators biomechanics morphological intelligence Physical Modelling Experimental Robotics biorobotics soft robotics
Dr. Ardian Jusufi earned his PhD at U. C. Berkeley and held postdoctoral research positions at the University of Cambridge and Harvard University. Ardian is Faculty at IMPRS (International Max Planck Research School for Intelligent Systems). He is also an Associate Faculty at the ETH Center for Learning Systems. Ardian leads the independent Max Planck Research Group for Locomotion in Somatic & Biorobotic Systems at the MPI for Intelligent Systems. Ardian's research interests include neuromechanics of locomotion, biorobotics, experimental validation with physical models, Soft Robotics, integrative systems biomechanics, systems biophysics, and biomaterials.
Download article "Schwäbisches Tagblatt" from June 2000 as PDF document
Select Publications
Nature Communications bio. Siddall, Byrnes, Full & Jusufi* 2021
https://www.nature.com/articles/s42003-021-02378-6#Fig5
Cover inside Wiley Advanced Engineering Materials. Banerjee, Siva, Ren & Jusufi* 2021
https://onlinelibrary.wiley.com/doi/10.1002/adem.202170038
Wiley Advanced Intelligent Systems, 2021. Modeling and Control of Soft Robotic Fish with Soft Sensors for Closed Loop Control. Lin, Siddall, Fukishima, .., Park, Jusufi 2021
Advanced Engineering Materials 2021. Biomimetic pumping system based on hydrogel encapsulated EAPs. Banerjee, Siva K, Ren, 2021
Integ Comp Biol. Righting robot for body attitude control. Fukushima, Jusufi et al. 2021.
- Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications. Wiley Advanced Intelligent Systems, 2020. Souri, Banerjee, Jusufi, Radacsi, Stokes, Park, Sitti, Amjadi
Abstract - Tail assisted Pitch Control in Lizards, Robots and Dinosaurs. Nature 481, 181–184 (2012).
Thomas Libby, Talia Moore, Evan Chang-Siu, Deborah Li, Daniel Cohen, Ardian Jusufi, Robert Full.
Announcement - Active Tails enhance Arboreal Acrobatics in Geckos. PNAS Proceedings of the National Academy of Sciences 105 (11): 4215-4219. (2008).
Ardian Jusufi, Daniel Goldman, Shai Revzen, Robert Full.
Abstract - Geckos Race Across the Water’s Surface Using Multiple Mechanisms Current Biology 28(24):4046-4051.e2, Elsevier, 2018.
- Nirody, J. L. L. J. A. H. D. F. R.
- Undulatory Swimming Performance and Body Stiffness Modulation in a Soft Robotic Fish-Inspired Physical Model Soft Robotics 4 (3), September 2017. A. Jusufi, D. Vogt. R. Wood. G. Lauder.
- Rapid Inversion: Running Animals and Robots Swing like a Pendulum under Ledges. PLoS ONE 7(6): e38003. Mongeau J-M, McRae B, Jusufi A, Birkmeyer P, Hoover AM, Fearing R, Full R. (2012)
Click here for Article - Righting and Turning in Mid-Air using Appendage Inertia: Reptile Tails, Analytical models and Bio-Inspired Robots. IOP Bioinspiration & Biomimetics 5 (4): 045001. (2010). Ardian Jusufi, Daniel Kawano, Thomas Libby, Robert Full.
http://iopscience.iop.org/1748-3190/5/4/045001- Soft Sensors for Curvature Estimation under Water in a Soft Robotic Fish. IEEE International Conference on Soft Robotics 2019.
- Wright, Vogt, Wood, and Jusufi
- Aerial Righting Reflexes in Flightless Animals. Integrative and Comparative Biology 51 (6) 2011. Ardian Jusufi, Yu Zeng, Robert Full, Robert Dudley.
Abstract at Oxford Journals Integrative & Comparative Biology
Soft Robot with Active Tail Reflex inspired by original field discovery:
https://edition.cnn.com/2021/09/02/asia/gecko-lizard-flight-robot-scn/index.html
https://www.fox10tv.com/news/us_world_news/the-geckos-most-astounding-maneuver-has-nothing-to-do-with-its-sticky-feet/article_81a372ba-4e37-5d0e-9e24-89863adbfdd5.html
https://nbc-2.com/news/science/2021/09/02/geckos-tails-are-just-as-remarkable-as-their-sticky-feet-scientists-say/
https://www.dailymail.co.uk/sciencetech/article-9951387/Geckos-use-TAILS-stabilise-landings-crashing.html?ns_mchannel=rss&ito=1490&ns_campaign=1490
https://www.derstandard.de/story/2000129366671/geckos-superhelden-an-land-im-wasser-und-in-der-luft
Modeling and Control of Closed Loop swimming with soft sensors: New Atlas
https://newatlas.com/robotics/robotic-fish-swimming-speed-current/
Ein Fisch als Bausatz - Schwaebisches Tagblatt
TV show in Bayrischer Rundfunk "Gut Zu Wissen" (See Clip starting from 17:00 min onward).
https://www.br.de/mediathek/video/gut-zu-wissen ...
Lizards racing over water surface quadrupedally (published in Current Biology):
https://is.mpg.de/news/superhero-gecko-s-latest-mystery-solved
Soft Robot moves under water (published in Soft Robotics):
https://www.higgs.ch/fischroboter-hilft-forschenden/13802/
Meet RightingBot, the lizard inspired robot:
http://scienceillustrated.com.au/blog/nature/meet-rightingbot-the-lizard-inspired-robot/
Körperdrehreflex beim Freien Fall: "Langer Hebel für Fallende Eidechsen"
http://www.weltderphysik.de/gebiet/leben/news/2012/langer-hebel-fuer-fallende-eidechsen/
Falling Lizards Use Tail for Mid-Air Twist, Inspiring Lizard-Like 'RightingBot'< br/> http://www.sciencedaily.com/releases/2012/07/120701191641.htm
RightingBot ability inspired by lizards
http://www.robaid.com/bionics/rightingbot-landing-ability-inspired-by-lizards.htm
Rapid Inversion: Running Animals and Robots Swing like a Pendulum under Ledges. Mongeau, McRea, Jusufi et al. (2012) PLoS ONE 7(6): e38003.
Article by LA Times The trick that geckos and cockroaches taught a robot
Article from The New York Times It’s a Bird. It’s a Plane. No, It’s a Flying Snake.
- Guest Lecture in Marie S. Curie Action. SMART Materials. March 2021.
- Guest Lecture on Support Systems and Biomaterials in the course Physiology of Organisms.
29 April 2014. Main Physiology Lecture Theatre, Cambridge University. - Presentation on "Research-based Teaching - Reflection on Practice".
1 May 2014. Held at Conference of the Teaching and Learning Committee, Queens' College, Cambridge. - Outstanding Graduate Student Instructor Award for teaching. U.C. Berkeley. 2013 Dean of the Graduate Division.
- Graduate Student Instructor, University of California, Berkeley. Fall Semester 2012. Lecture "Comparative Animal Physiology" [IB 148].
- Guest Lecturer, Boston University. Fall Semester 2011. Course “Bio-Aerial Locomotion” [EK 131], Engineering Department, Prof. Lorena Barba.
- Graduate Student Instructor, University of California, Berkeley. Spring Semester 2011. Course “Laboratory in the Mechanics of Organisms” [IB C135L] taught with Prof. Full, and Prof. Fearing.
- Laboratory in the Mechanics of Organisms – Integrative Biology (INTEGBI) C135L
- Description: Introduction to laboratory and field study of the biomechanics of animals and plants using fundamental biomechanical techniques and equipment. Course has a series of rotations involving students in experiments demonstrating how solid and fluid mechanics can be used to discover the way in which diverse organisms move and interact with their physical environment. The laboratories emphasize sampling methodology, experimental design, and statistical interpretation of results. Latter third of course devoted to independent research projects. Written reports and class presentation of project results are required. Also listed as Electrical Engineering C145O and Bioengineering C136L. (SP) Staff