RI Seminar
Tim Bretl
Associate Professor
Aerospace Engineering, University of Illinois at Urbana Champaign

Three surprises and a story of prison education

1305 Newell Simon Hall

Abstract: I will talk about three results that surprised me. First, I will show that the free configuration space of an elastic wire is path-connected, a result that makes easy a manipulation planning problem that was thought to be hard. Second, I will show a linear relationship between stimulation parameters, skin impedance, and sensation intensity [...]

Field Robotics Center Seminar
Robotics Institute,
Carnegie Mellon University

Toward intuitive human controlled MAVs: motion primitives based teleoperation

GHC 6501

Abstract: Humans excel at composing high-level plans that achieve a complex, multimodal objective; however, achieving proficiency in teleoperating multi-rotor aerial vehicles (MAVs) in unstructured environments with stability and safety requires significant skill and training. In this talk, we present human-in-the-loop control of a MAV via teleoperation using motion primitives that addresses these concerns. We show [...]

RI Seminar
Andrea Thomaz
Associate Professor
Department of Electrical & Computer Engineering, The University of Texas at Austin

Robots Learning from Human Teachers

1305 Newell Simon Hall

Abstract: In this talk I will cover some of the recent work out of the Socially Intelligent Machines Lab at UT Austin (http://sim.ece.utexas.edu/research.html). The vision of our research is to enable robots to function in dynamic human environments by allowing them to flexibly adapt their skill set via learning interactions with end-users. We explore the ways in which [...]

Field Robotics Center Seminar
Robotics Institute,
Carnegie Mellon University

Improving Multirotor Trajectory Tracking Performance using Learned Dynamics Models

3305 Newell-Simon Hall

Abstract: Multirotors and other aerial vehicles have recently seen a surge in popularity, partly due to a rise in industrial applications such as inspection, surveillance, exploration, package delivery, cinematography, and others. Crucial to multirotors' successes in these applications, and enabling their suitability for other applications, is the ability to accurately track trajectories at high speed [...]

Field Robotics Center Seminar
Robotics Institute,
Carnegie Mellon University

Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles

3305 Newell-Simon Hall

Abstract: The recent incidents with Boeing 737 Max 8 aircraft have raised concerns about the safety and reliability of autopilots and autonomous operations. There is a growing need for methods to monitor the status of aircraft and report any faults and anomalies to the human pilot or to the autopilot to deal with the emergency [...]

RI Seminar
Amir Barati Farimani
Assistant Professor
Mechanical Engineering, Carnegie Mellon University

Creative Robots with Deep Reinforcement Learning

1305 Newell Simon Hall

Recent advances in Deep Reinforcement Learning (DRL) algorithms provided us with the possibility of adding intelligence to robots. Recently, we have been applying a variety of DRL algorithms to the tasks that modern control theory may not be able to solve. We observed intriguing creativity from robots when they are constrained in reaching a certain [...]

SCS Distinguished Lecture
Associate Professor
Robotics Institute,
Carnegie Mellon University

Teruko Yata Memorial Lecture – Understanding Human Behavior for Robotic Assistance and Collaboration

Gates-Hillman Center 4401

Speaker: Henny Admoni, Assistant Professor, Robotics Institute Carnegie Mellon University Title: Understanding Human Behavior for Robotic Assistance and Collaboration . Human-robot collaboration has the potential to transform the way people work and live. Researchers are currently developing robots that assist people in public spaces, on the job, and in their homes. To be effective assistants, these robots [...]

RI Seminar
Todd Murphey
Professor
Mechanical Engineering, Northwestern University

Active Learning in Robot Motion Control

1305 Newell Simon Hall

Abstract: Motion motivated by information needs can be found throughout natural systems, yet there is comparatively little work in robotics on analyzing and synthesizing motion for information. Instead, engineering analysis of robots and animal motion typically depends on defining objectives and rewards in terms of states and errors on states. This is how we formulate [...]