Expressive Motion for Low Degree-of-Freedom Robots
Event Location: GHC 4405Abstract: As social and collaborative robots move into everyday life, the need for algorithms enabling their acceptance becomes critical. People parse non-verbal communications intuitively, even from machines that do not look like people, thus, expressive motion is a natural and efficient way to communicate with people. This work presents a computational Expressive [...]
Understanding Social and Physical Interactions from First Person Cameras
Event Location: Newell Simon Hall 1507Bio: Hyun Soo Park is an Assistant Professor at the Department of Computer Science and Engineering, the University of Minnesota. He is interested in understanding human visual sensorimotor behaviors from first person cameras. Prior to the UMN, he was a Postdoctoral Fellow working with Jianbo Shi at University of Pennsylvania. [...]
Instrumented and Connected: Designing Next-Generation Learning Experiences
Event Location: Newell Simon Hall 1507Bio: Tovi Grossman is a Distinguished Research Scientist at Autodesk Research, located in downtown Toronto. Dr. Grossman’s research is in HCI, focusing on input and interaction with new technologies. In particular, he has been exploring how emerging technologies, such as wearables, the Internet of Things, and gamification can be leveraged [...]
Algorithms, Implementation, and Studies on Eating with a Shared Control Robot Arm
Event Location: NSH 1305Abstract: People with upper extremity disabilities are gaining increased independence through the use of assisted devices such as wheelchair-mounted robotic arms. However, the increased capability and dexterity of these robotic arms also makes them challenging to control through accessible interfaces like joysticks, sip-and-puff, and buttons that are lower-dimensional than the control space [...]
Completing Manipulation Tasks Efficiently in Complex Environments
Event Location: NSH 3305Abstract: An effective autonomous robot performing dangerous or menial tasks will need to act under significant time and energy constraints. At task time, the amount of effort a robot spends planning its motion directly detracts from its total performance. Manipulation tasks, however, present challenges to efficient motion planning. Tightly coupled steps (e.g. [...]
The Journey to Consumer Robotics
Event Location: GHC 6115Bio: Boris is co-founder and CEO of Anki, an artificial intelligence and robotics company focused on using these technologies to reinvent everyday consumer experiences. With an initial focus on entertainment, Anki's first product line, Overdrive, is a battle-racing game that allowed a level of physical gameplay and interaction previously not possible outside [...]
The Journey to Consumer Robotics
Event Location: GHC 6115Bio: Hanns is co-founder and President of Anki, an artificial intelligence and robotics company focused on creating groundbreaking consumer products. Anki's first product line, Overdrive, is a battle-racing game that allowed a level of physical gameplay and interaction previously not possible outside of video games and was one of the top selling [...]
Decision-Theoretic User Modeling for Human-Robot Mutual Adaptation
Event Location: GHC 4405Abstract: In many application domains, robots co-exist in the same physical space with humans and aim to become trustworthy partners. We particularly envision personal robots arranging furniture with a human partner, manufacturing robots performing spar assembly with human co-workers, or rehabilitation robots assisting spinal cord injury patients. In such collaborative settings, humans [...]
Data-Driven Statistical Models of Robotic Manipulation
Event Location: NSH 3305Abstract: Improving robotic manipulation is critical for robots to be actively useful in real-world factories and homes. While some success has been shown in simulation and controlled environments, robots are slow, clumsy, and not general or robust enough when interacting with their environment. By contrast, humans effortlessly manipulate objects. One possible reason [...]