Robotics Institute Carnegie Mellon University : Robotics Education and Research Leader
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thumbnail image for post: Bridging Generative and Discriminative Learning with Diffusion Models

Bridging Generative and Discriminative Learning with Diffusion Models

Event Category:
PhD Thesis Proposal
Speaker:
Zhipeng Bao
Event Time:
Tuesday, November 26th - 12:00 PM
thumbnail image for post: Bring Hand to The Air: Towards Universal Aerial Manipulation

Bring Hand to The Air: Towards Universal Aerial Manipulation

Event Category:
PhD Thesis Proposal
Speaker:
Xiaofeng Guo
Event Time:
Wednesday, November 27th - 9:00 AM
thumbnail image for post: Robust Reinforcement Learning for Safety Critical Applications via Curricular Learning

Robust Reinforcement Learning for Safety Critical Applications via Curricular Learning

Event Category:
PhD Thesis Defense
Speaker:
Yeeho Song
Event Time:
Monday, December 2nd - 12:30 PM

Takeo Kanade Among 2024 John Scott Award Recipients

Takeo Kanade, professor of computer science and robotics at Carnegie Mellon University, has received the 2024 John Scott Award alongside two other world leaders in robotics research. The John Scott Award, established in 1815 by Scottish chemist and pharmacist John Scott to honor Benjamin Franklin,...

CMU and Partners Redefine Robotic Perception with NeuralFeels

A research team at Carnegie Mellon teamed up with Meta FAIR, the University of California, Berkeley, Technical University Dresden in Germany and the Centre for Tactile Internet with Human-in-the-Loop (CeTI) to propose NeuralFeels, a machine learning model that combines vision and touch sensing on a...

CMU Researchers Illuminate New Horizons in Low-Light Robotic Exploration

The framework allows the robot to create photorealistic scene representations in low-light environments. Robots lift heavy loads in warehouses, deliver meals to diners, and even tackle housework. However, a lot of robotic work goes u...
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Bridging Generative and Discriminative Learning with Diffusion Models

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