Search Results for author:
Found 5 papers, 2 papers with code
Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models
The obtained results convince us firmly to explain why we need VLA and develop a new family of VLAs, RoboVLMs, which require very few manual designs and achieve a new state-of-the-art performance in three simulation tasks and real-world experiments.
Ranked #5 on
Robot Manipulation
on SimplerEnv-Widow X
(using extra training data)
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
The growing computational demands posed by increasingly number of neural network's parameters necessitate low-memory-consumption training approaches.
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
In this paper, we extend the scope of this effectiveness by showing that visual robot manipulation can significantly benefit from large-scale video generative pre-training.
Ranked #5 on
Zero-shot Generalization
on CALVIN
(using extra training data)
Vision-Language Foundation Models as Effective Robot Imitators
We believe RoboFlamingo has the potential to be a cost-effective and easy-to-use solution for robotics manipulation, empowering everyone with the ability to fine-tune their own robotics policy.
Mixed Neural Voxels for Fast Multi-view Video Synthesis
In this paper, we present a novel method named MixVoxels to better represent the dynamic scenes with fast training speed and competitive rendering qualities.
