In this episode, Audrow Nash interviews Patrick Tresset, a London based artist, on robots that draw people using a pen and paper in a way that is similar to the drawing process for humans. Tresset discusses his background in painting and programming, how his robot artists work, how he creates an experience for the person being drawn by the robots, about art history with robots, and about his future direction with robot artists.

In this episode, Audrow Nash interviews Robert Williamson, a Professor at the Australian National University, who speaks about a mathematical approach to ethics. This approach can get us started implementing robots that behave ethically. Williamson goes through his logical derivation of a mathematical formulation of ethics and then talks about the cost of fairness. In making his derivation, he relates bureaucracy to an algorithm. He wraps up by talking about how to work ethically.

In this interview, Audrow Nash interviews Amruta Moktali, VP of Product Management at Salesforce Analytics, about Salesforce Analytics’ analytic and artificial intelligence software. Moktali discusses the data-pipeline, how data is processed (e.g., noise), and how insights are identified.  She also talks about how dimensions in the data can be controlled for (such as race, gender, or zip-code) to avoid bias and how other dimensions can be selected as actionable so Salesforce can make recommendations—and how they use interpretable methods so that these recommendations can be explained.  Moktali also tells about her professional path, including going from computer engineering and computer science to product management and her experience with intrapreneurship (that is, starting an endeavor within a large organization).

In this episode, Audrow Nash interview Magnus Egerstedt, Professor at the Georgia Institute of Technology, about a way for anyone interested in swarm robotics to test their ideas on hardware, called the Robotarium.  The Robotarium is a 725-square-foot lab at the the Georgia Institute of Technology that houses nearly 100 rolling and flying robots.  To test their ideas, people can write their own programs, upload them to the Robotarium, and then watch the machines carry out their commands.

In this interview, Egerstedt speaks about the kinds of robots used in the Robotarium, design decisions in making the Robotarium, the differences between doing research in simulation and on hardware, and about lessons learnt and the challenges of building the Robotarium.

In this episode, Audrow Nash interviews Chris McCool and Chris Lehnert about different projects that relate to agriculture at the Queensland University of Technology. McCool speaks about a large robot for weed management in fields. The robot uses Real-time kinematic GPS (very accurate) and a camera with deep learning to recognize various types of plants. Lehnert speaks about a robot to harvest sweet peppers. The robot first grabs on to the sweet pepper with a suction cup and then uses a small saw to cut the fruit from the bush. Chris speaks about using their method for other crops, how their robot does in terms of deployment, and the future of agriculture.

In this episode, Marwa ElDiwiny interview Peer Fisher, a Professor of Physical Chemistry at the University of Stuttgart and the Director of the Micro Nano and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems.  Fischer discusses micro robots that has been designed to move inside of environments similar to the human body called, “micro swimmers.”  He talks about how they are fabricated, powered, and how they can move with light or “nano propellers.”  Fischer also discusses simulating human tissue and the future of micro and nano robots, including how they could be a replacement for certain surgeries.

In this episode, Audrow Nash interviews Shuo Yang about DJI’s RoboMaster first-person shooter (FPS) competition, a competition designed to get people excited about robotics. For the competition, university teams build and program a robot to go against DJI’s robots in a shooting battle. Each robot has a way of propelling marble-sized plastic balls and pressure sensors on their sides to register if they’ve been hit by an opponent’s projectile. Shuo speaks about the goals of the competition, the teams that are involved, what strategies the teams use, the difficulties the team had in making their robot’s good competitors, the future of the challenge, and how people can get involved.

In this episode, Marwa Mohammed Alaa Eldean Eldiwiny interviews Yong-Lae Park, Associate Professor at Seoul National University in South Korea, about the bio-inspired design and manufacture of soft robots and microrobots for healthcare. Park’s research goal is to analyze the design and dynamics of biological systems and transform them into robotic/mechatronic systems for human life. Some of the his projects include development of artificial skin sensors, soft Muscle Actuators, and wearable robots for human rehabilitation.

In this episode, Audrow Nash interviews Juxi Leitner, a Postdoctoral Research Fellow at QUT; and Nicholas Panitz, Ben Wilson, and James Brett, from CSIRO.

Leitner speaks about the Amazon Picking challenge, a challenge to advance the state of robotic grasping, and their robot which won the challenge in 2017. Their robot is similar to a cartesian 3D printer in form and uses either a suction cup or a pinch gripper for grabbing objects. Their robot has a depth camera and uses a digital scale to determine if an object has been picked up successfully. Leitner discusses what their team did differently from other teams that helped them win the competition.

Panitz, Wilson, and Brett speak about their hexapod robots. Their hexapods are for several purposes, such as environmental monitoring and remote inspection. They choose to use hexapods because they are statically stable. They discuss the design of their hexapods and how research works at Commonwealth Scientific and Industrial Research Organization, or CSIRO.

In this episode, Audrow Nash interviews Jonathan W. Hurst, Associate Professor of Mechanical Engineering at Oregon State University and CTO and co-founder of Agility Robotics, about legged locomotion, about a bipedal robot, called “Cassie.” Hurst discusses Cassie’s design, what types of research questions Cassie should allow, and applications of walking robots, including package delivery. 

In this episode, Abate interviews Andrew Stein from Anki. At Anki they developed an engaging robot called Cozmo which packs sophisticated robotic software inside a lifelike, palm sized, robot. Cozmo recognizes people and objects around him and plays games with them. Cozmo is unique in that a large amount of development has been implemented to make his animations and behavior feel natural, in addition to focusing on classical robotic elements such as computer vision and object manipulation.

In this interview, Audrow Nash speaks with Sangin Park, Senior Research Engineer at Hyundai, about exoskeletons. Park describes three exoskeleton prototypes: one for helping workers reduce back pain, one for assisting a person with paraplegia, and an exoskeleton for soldiers. Park discusses the sensors and actuators of each exoskeleton, as well as Hyundai’s exoskeleton ambitions.

In this episode Andrew Vaziri speaks with Nicolas Economou, CEO of the eDiscovery company H5 and co-founder and chair of the Science, Law and Society Initiative at The Future Society, a 501c3 think tank incubated at the Harvard Kennedy School of Government. Economou discusses how AI is applied in the legal system, as well as some of the key points from the recent “Global Governance of AI Roundtable”. The roundtable, hosted by the government of the UAE, brought together a diverse group of leaders from tech companies, governments, and academia to discuss the societal implications of AI.

In this episode, Audrow Nash speaks with Michael Laskey, PhD student at UC Berkeley, about a method for robust imitation learning, called DART. Laskey discusses how DART relates to previous imitation learning methods, how this approach has been used for folding bed sheets, and on the importance of robotics leveraging theory in other disciplines.

In this interview, Audrow speaks with Andrea Bajcsy and Dylan P. Losey about a method that allows robots to infer a human’s objective through physical interaction. They discuss their approach, the challenges of learning complex tasks, and their experience collaborating between different universities.