Legged locomotion holds the premise of universal mobility, a critical capability for many real-
world robotic applications. Both model-based and learning-based approaches have …

This survey explores the transformative role of Generative Artificial Intelligence (GenAI) in
enhancing the trustworthiness, reliability, and security of autonomous systems such as …

Legged robots are physically capable of navigating a diverse variety of environments and
overcoming a wide range of obstructions. For example, in a search and rescue mission, a …

Curriculum learning is a training mechanism in reinforcement learning (RL) that facilitates
the achievement of complex policies by progressively increasing the task difficulty during …

Vision language models (VLMs) have achieved impressive progress in diverse applications,
becoming a prevalent research direction. In this paper, we build FIRE, a feedback …

The ability to reflect on and correct failures is crucial for robotic systems to interact stably with
real-life objects. Observing the generalization and reasoning capabilities of Multimodal …

Recent advances in the fields of natural language processing and computer vision have
shown great potential in understanding the underlying dynamics of the world from large …

Large-scale generative language and vision-language models (LLMs and VLMs) excel in
few-shot in-context learning for decision making and instruction following. However, they …

Large-scale generative language and vision-language models excel in in-context learning
for decision making. However, they require high-quality exemplar demonstrations to be …

The integration of Generative Artificial Intelligence (AI) into autonomous machines
represents a major paradigm shift in how these systems operate and unlocks new solutions …