Faculty Events

RI Faculty Social

Tazza D'Oro, 3rd floor, Gates and Hillman Centers

All Robotics Institute faculty are invited to attend this informal team-building business/social event. Beverages and snacks will be provided.

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

MRFMaps: A Representation for Multi-Hypothesis Dense Volumetric SLAM

GHC 4405

Abstract: Robust robotic flight requires tightly coupled perception and control. Conventional approaches employ a SLAM algorithm to infer the most likely trajectory and then generate an occupancy grid map using dense sensor data for planning purposes. In such approaches all the robustness and accuracy costs are offset to the SLAM algorithm; if there are any [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Learning to learn from simulation: Using simulations to learn faster on robots

NSH 4305

Abstract: Learning for control is capable of acquiring controllers in novel task scenarios, paving the path to autonomous robots. However, typical learning approaches can be prohibitively expensive in terms of robot experiments, and policies learned in simulation do not transfer directly due to modelling inaccuracies. This encourages learning information from simulation that has a higher [...]

RI Seminar
Hanumant Singh
Professor
Mechanical & industrial Engineering, Northeastern University

Bipolar Robotics – From the Arctic to the Antarctic with a stop for Fisheries in the middle latitudes.

1305 Newell Simon Hall

Abstract: The Arctic, Antarctic and Greenland remain some of the least explored parts of the planet. This talk looks at efforts over the last decade to explore areas under-ice which have traditionally been difficult to access. The focus of the talk will be on the robots, the role of communications over low bandwidth acoustic links, [...]

VASC Seminar
Philipp Krähenbühl
Professor
Computer Science Department, University of Texas at Austin

Video Compression for Recognition & Video Recognition for Compression

GHC 6501

Abstract: Training robust deep video representations has proven to be much more challenging than learning deep image representations. One reason is: videos are huge and highly redundant. The 'true' and interesting signal often drowns in too much irrelevant data. In the first part of the talk, I will show how to train a deep network [...]

Faculty Candidate
Assistant Research Professor
Robotics Institute,
Carnegie Mellon University

Multimodal Computational Behavior Understanding

Emotions influence our lives. Observational methods of measuring affective behavior have yielded critical insights, but a persistent barrier to their wide application is that they are labor-intensive to learn and to use. An automated system that can quantify and synthesize human affective behavior in real-world environments would be a transformational tool for research and for [...]

RI Seminar
Associate Professor
Robotics Institute,
Carnegie Mellon University

Learning Robot Manipulation Skills through Experience and Generalization

1305 Newell Simon Hall

Abstract: In the future, robots could be used to take care of the elderly, perform household chores, and assist in hazardous situations. However, such applications require robots to manipulate objects in unstructured and everyday environments. Hence, in order to perform a wide range of tasks, robots will need to learn manipulation skills that generalize between [...]

Special Talk
Dr. Yan Ke
founder and CTO of
Colbotics

Fully Autonomous Drones for Wind Power Turbine Inspection

3305 Newell-Simon Hall

Abstract: The wind energy industry is growing rapidly. In the U.S. alone, the wind industry invested more than $11 billion in new plants in 2017 and added more than 7,000 megawatts of new capacity, representing 25% of all electric capacity added. One of the biggest challenges to growth remains the high costs of constructing wind [...]