Faculty Candidate
Matthias Niessner
Professor
Visual Computing Lab, Technical University of Munic

AI-Driven Videos Synthesis and its Implications

Gates Hillman Center 6115

Abstract: In this talk, I will present my research vision in how to create photo-realistic digital replica of the real world, and how to make holograms become a reality. Eventually, I would like to see photos and videos evolve to become interactive, holographic content indistinguishable from the real world. Imagine taking such 3D photos to [...]

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 [...]

Faculty Candidate
Angela Dai
Postdoctoral Fellow
Technical University of Munich

Understanding 3D Scans

Gates Hillman Center 6115

Abstract: With recent developments in both commodity range sensors as well as mixed reality devices, capturing and creating 3D models of the world around us has become increasingly important. As the world around us lives in a three-dimensional space, such 3D models will not only facilitate capture and display for content creation but also provide [...]

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 [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Learning to Align without Geometric Supervision

GHC 4405

Abstract: Extracting geometric information from image data is a highly nonlinear problem that exhibits in a number of visual recognition tasks such as object localization, facial landmark tracking and human pose estimation. Successful alignment across image data often serves as a crucial component in making them possible. In this talk, I will present how one [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Hybrid Soft Sensing in Robotic Systems

NSH 4305

Abstract: The increasing prevalence of wearable technology in our daily lives has created a demand for safe and robust sensing skins. Largely inspired by human skin, the ultimate goal of electronic skins is to measure diverse sensory information, conform to surfaces, and avoid interfering with the natural mechanics of the host or user. These demands [...]

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 [...]

Special Events

2019 Robotics Institute Semi-formal

Pittsburgh Golf Club 5280 Northumberland Street, Pittsburgh, PA, United States

By invitation only: The 2019 Robotics Institute Semi-formal Robotics Institute members and a guest are invited to join us for our annual semi-formal! Join us for an evening of music, fun, food and friends! Food and beverage will include: hot hors d’oeuvres, stations for carving, pasta, fruit, cheese, coffee and dessert and hosted non-alcoholic beverages. [...]