2017 National Robotics Week Celebration
The Robotics Institute will celebrate the eighth annual National Robotics Week on April 20, 21 & 22 with lectures, project demonstrations, the annual Mobot (mobile robot) races, a reception for RI affiliated people and NREC Industry Day. REGISTRATION IS NOW OPEN REGISTER HERE If you have any specific questions about the National Robotics Week open [...]
Sankalp Arora: Safe, Efficient Data Gathering in Physical Spaces
Sankalp Arora Ph.D. Thesis Proposal Abstract: Reliable and efficient acquisition of data from physical spaces will have countless applications in industry, policy and defense. The capability of gaining information at different scales makes Micro-Aerial Vehicles (MAVs) excellent for aforementioned applications. However, reasoning about information gathering at multiple resolution is NP-Hard and the state of the [...]
Toward Deep Geometric Image Understanding
Event Location: Newell Simon Hall 1507Bio: Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from [...]
Seungmoon Song: The Development, Evaluation and Applications of a Neuromechanical Control Model of Human Locomotion
Seungmoon Song Ph.D. Thesis Defense Abstract: The neural control of human locomotion is not fully understood. As current experimental techniques provide only partial and indirect access to the neural control network, our understanding remains fragmentary with large gaps between detectable neural circuits and measurable behavioral data. Neuromechanical simulation studies can help bridging these gaps. By [...]
Juan Pablo Mendoza: Regions of Inaccurate Modeling for Robot Anomaly Detection and Model Correction
Juan Pablo Mendoza Ph.D. Thesis Defense Abstract: To make intelligent decisions, robots often use models of the stochastic effects of their actions on the world. Unfortunately, in complex environments, it is often infeasible to create models that are accurate in every plausible situation, which can lead to suboptimal performance. This thesis enables robots to reason [...]
Sasanka Nagavalli: Behavior Composition in Human Interaction with Robotic Swarms
Sasanka Nagavalli Ph.D. Thesis Proposal Abstract: Robotic swarms are multi-robot systems whose global behavior emerges from local interactions between individual robots and spatially proximal neighboring robots. Each robot can be programmed with several local control laws that can be activated depending on an operator's choice of global swarm behavior (e.g. flocking, aggregation, formation control, area [...]
Robots for the social good: Identifying and addressing organizational and societal factors in the design and use of robots
Event Location: NSH 1305Bio: I am an Associate Professor of Informatics and Cognitive Science at Indiana University, Bloomington, where I founded and direct the R-House Human-Robot Interaction Lab. My work combines the social studies of computing, focusing particularly on the design, use, and consequences of socially interactive and assistive robots in different social and cultural [...]
Selma Sabanovic: Robots for the social good: Identifying and addressing organizational and societal factors in the design and use of robots
Selma Sabanovic Associate Professor of Informatics and Cognitive Science, Indiana University Bloomington Additional Information Host: Aaron Steinfeld Appointments: Stephanie Matvey Abstract Robots are expected to become ubiquitous in the near future, working alongside and with people in everyday environments to provide various societal benefits. In contrast to this broad ranging social vision for robotics applications, [...]
A Fast & Efficient Mission Planner for Multi-rotor Aerial Vehicles in Large, High-resolution Maps of Cluttered Environments
Abstract: Unmanned aerial vehicles have many potential applications, such as monitoring crops and inspecting infrastructure. The potential benefits are greater if the UAV is semi- or fully-autonomous, requiring only occasional human oversight or none at all. This would allow the above use cases to be performed at lower cost, during any time of day, or [...]
Interactive Scene Understanding
Abstract Despite recent progress, AI is still far from understanding the physics of the world, and there is a large gap between the abilities of humans and the state-of-the-art AI methods. In this talk, I will focus on physics-based scene understanding and interactive visual reasoning, which are crucial next steps in computer vision and AI. [...]