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 [...]

Field Robotics Center Seminar
Cedric Scheerlinck
PhD Student
Australian National University

Event Cameras: Image Reconstruction, Convolutions and Color

Newell-Simon Hall 4305

Abstract: Event cameras are novel, bio-inspired visual sensors, whose pixels output asynchronous and independent timestamped spikes at local intensity changes, called ‘events’. Event cameras offer advantages over conventional frame-based cameras in terms of latency, high dynamic range (HDR) and temporal resolution. Event cameras do not output conventional image frames, thus, image reconstruction from events enables [...]

Field Robotics Center Seminar
Sierra Young
Assistant Professor
North Carolina State University

From Farm to Takeoff: Ground and Aerial Robots for Biological Systems Analysis

1305 Newell Simon Hall

Abstract: Biological and agricultural environments are dynamic, unstructured, and uncertain, posing challenges for environmental data collection at the necessary spatial and temporal scales to enable meaningful systems analysis. Small unmanned systems, however, can overcome some of these challenges by enabling autonomous or human-assisted image-based and in situ environmental data collection. This talk will present a suite of [...]

VASC Seminar
Aljosa Osep
M.Sc. Computer Science
RWTH Aachen University, Computer Vision Group

Tracking Beyond Detection

GHC 6501

Abstract:  The majority of existing vision-based methods perform multi-object tracking in the image domain. Yet, in mobile robotics and autonomous driving scenarios, pixel-precise object localization and trajectory estimation in 3D space are of fundamental importance. Furthermore, the leading paradigms for vision-based multi-object tracking and trajectory prediction heavily rely on object detectors and effectively limit tracking [...]