UCL Researcher Receives NVIDIA Grant For Humanoids
Chengxu Zhou, an associate professor in UCL Computer Science, has received an NVIDIA Academic Grant to advance the Beat-to-Body project on audio-driven, real-time whole-body humanoid motion. The award provides two NVIDIA RTX PRO 6000 GPUs and two Jetson AGX Orin devices to accelerate simulation-scale training and on-robot, low-latency inference. The funding aims to shorten iteration cycles and enable closed-loop, sound-responsive behaviors on real humanoid robots.
Key Points
- 1Secures two RTX PRO 6000 GPUs and two Jetson AGX Orin units for Beat-to-Body project.
- 2Enables real-time, on-robot audio-driven whole-body motion training and low-latency inference.
- 3Allows practitioners to iterate faster and test closed-loop, sound-responsive behaviors on real robots.
Scoring Rationale
Official NVIDIA grant and hardware allocation drive credible research support, but scope is lab-level and not immediately industry-changing.
Sources
Public references used for this report.
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