Pyrobolearn: A python framework for robot learning practitioners
B Delhaisse, L Rozo… - Conference on Robot …, 2020 - proceedings.mlr.press
On the quest for building autonomous robots, several robot learning frameworks with
different functionalities have recently been developed. Yet, frameworks that combine diverse …
different functionalities have recently been developed. Yet, frameworks that combine diverse …
Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs
Generalizable articulated object manipulation is essential for home-assistant robots. Recent
efforts focus on imitation learning from demonstrations or reinforcement learning in …
efforts focus on imitation learning from demonstrations or reinforcement learning in …
Do as i can, not as i say: Grounding language in robotic affordances
M Ahn, A Brohan, N Brown, Y Chebotar… - arXiv preprint arXiv …, 2022 - arxiv.org
Large language models can encode a wealth of semantic knowledge about the world. Such
knowledge could be extremely useful to robots aiming to act upon high-level, temporally …
knowledge could be extremely useful to robots aiming to act upon high-level, temporally …
Lmflow: An extensible toolkit for finetuning and inference of large foundation models
Large foundation models have demonstrated a great ability to achieve general human-level
intelligence far beyond traditional approaches. As the technique keeps attracting attention …
intelligence far beyond traditional approaches. As the technique keeps attracting attention …
Vima: Robot manipulation with multimodal prompts
Prompt-based learning has emerged as a successful paradigm in natural language
processing, where a single general-purpose language model can be instructed to perform …
processing, where a single general-purpose language model can be instructed to perform …
If llm is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents
The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …
only in size, but also in the fact that they are trained on a combination of natural language …
Expel: Llm agents are experiential learners
The recent surge in research interest in applying large language models (LLMs) to decision-
making tasks has flourished by leveraging the extensive world knowledge embedded in …
making tasks has flourished by leveraging the extensive world knowledge embedded in …
Language-driven representation learning for robotics
Recent work in visual representation learning for robotics demonstrates the viability of
learning from large video datasets of humans performing everyday tasks. Leveraging …
learning from large video datasets of humans performing everyday tasks. Leveraging …
What language model to train if you have one million gpu hours?
The crystallization of modeling methods around the Transformer architecture has been a
boon for practitioners. Simple, well-motivated architectural variations can transfer across …
boon for practitioners. Simple, well-motivated architectural variations can transfer across …
Distilling LLMs' Decomposition Abilities into Compact Language Models
D Tarasov, K Shridhar - arXiv preprint arXiv:2402.01812, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated proficiency in their reasoning abilities,
yet their large size presents scalability challenges and limits any further customization. In …
yet their large size presents scalability challenges and limits any further customization. In …