Soft Robotics Podcast

Interesting discussion with Prof.Robert Shepherd, the head of the organic robotics laboratory at Cornell University. We have recorded the first episode of the soft robotics podcast with Robert at RSS 2019. In part 2: Robert shares how the environment plays a significant role in designing soft robot energy density? How we can increase surface area to volume ratio for securing input energy are filled? Why we cannot make DEA at large volumes? Why the modeling of the scaled-down soft systems is hard? Can the material reprogram and compute itself so that it can respond in environment stimulus in different ways depending on the task it performing: shape face changing material, dissipative materials. How we can design an integrated sensing and actuating system perform efficiently? I hope you enjoy the podcast episode -:)

Compelling discussion with Ritu Raman, a passionate biohybrid designer, her goal is to build machines powered by biological materials. She is the recipient of MIT Technology Review 35 Innovators Under 35 Class of 2019 and the Forbes 30 Under 30 Class of 2018. A postdoctoral fellow in the renowned Langer Lab at MIT. In this episode, we spoke about why biohybrid design is important? Can we design a biohybrid muscle stronger than the biological one and enhancing its functionalities? What are the challenges of interfacing biological and synthetic materials? Is there any other living creature more inspiring than the human body structure? To which level the engineered biohybrid materials are intelligent? Can they feel the pain? To which level you have to deeply understand the biology for designing biohybrid materials and her message for inclusivity. I hope you would enjoy it.

Jan Peters: Clip: The Importance Of The Antagonistic Muscle Based Design For Soft Robotics

Jan Peters: Clip: Max Planck " I never managed tp persude my critics, luckily they were died"

Clip: Jan Peters "How Can We be Intellectually Inclusive? The Consequences of Fast Publications"

Jan Peters : Fast Soft Robot Should Be More Predictive and Less Relying on Feedback and the importance of Mult-Material soft actuators.

Clip : Jan Peters "The Three Lessons Behind Modelling Challenges"

Interesting discussion with Jan Peters, a Professor of Intelligent Autonomous Systems at the Department of Computer Science of the Technische Universität Darmstadt and Head of the Robot Learning Group at the Max Planck Institute for Intelligent Systems. In this episode, Jan shares his broad expertise in soft robotics and machine learning, the trade-off between the models and data? What is the level of modeling in order to allow the planning to accomplish a task? Do we need more data-driven approaches? The importance of antagonistic actuator design for robust, and safe interaction. Fast Soft Robot Should Be More Predictive and Less Relying on Feedback.

I hope you would find this episode useful :)

Andy Stapleton: Clip : What Are The Essential Metrics For Rewarding Academicians?

Andy Stapleton: SWOT Analysis (Strength Weakness Opportunities Threats): "How To Find Your Path After Grad School?"