Preprint2024
Neural scaling laws in robotics
Unknown
A study quantifying neural scaling laws for Robot Foundation Models to guide data and model scaling in robotics.
0May 1, 2024Scaling Laws
arXiv
AI Research
AI & ML Research Papers
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
All Papers
10 papersPreprint2026
Foundation models in robotics: A comprehensive review of methods, models, datasets, challenges and future research directions
Unknown
A comprehensive review of foundation models in robotics, covering methods, models, datasets, challenges, and future research directions.
0Apr 1, 2026
arXiv
PreprintThe International Journal of Robotics Research2013
Reinforcement learning in robotics: A survey
Jens Kober, J. Andrew Bagnell, Jan Peters
A comprehensive survey of reinforcement learning for robot behavior generation, highlighting key challenges, successes, and the trade-offs between model-based/model-free and value-function/policy-search methods.
3.8kAug 23, 2013Reinforcement Learning
Preprint2020
Sim-to-real transfer in deep reinforcement learning for robotics: a survey
Unknown
A survey of sim-to-real transfer techniques in deep reinforcement learning for robotics, focusing on end-to-end approaches and relevant applications.
0Jan 1, 2020Reinforcement Learning
Preprint2024
A survey on robotics with foundation models: toward embodied ai
Unknown
This survey systematically reviews the integration of foundation models into robotics for embodied AI, categorizing datasets and discussing challenges and future directions.
0Feb 1, 2024
arXiv
Preprint2017
Survey of model-based reinforcement learning: Applications on robotics
Unknown
This survey reviews model-based reinforcement learning methods and their applications in robotics, highlighting their advantages and discussing future applicability.
0Jan 1, 2017Reinforcement Learning
Preprint2024
Real-world robot applications of foundation models: A review
Kento Kawaharazuka, T. Matsushima, Andrew Gambardella, et al.
This paper reviews the application of foundation models in real-world robotics, categorizing approaches and discussing challenges and future directions.
127Jan 1, 2024
arXiv
Preprint2025
Toward edge general intelligence with agentic AI and agentification: Concepts, technologies, and future directions
Unknown
This paper proposes a framework for edge general intelligence using agentic AI and agentification, demonstrated through UAV swarms, vehicular networks, and edge robotics.
0Aug 1, 2025
arXiv
PreprintCognitive Robotics2023
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
This review surveys how AI, ML, and DL are transforming advanced robotics across autonomous navigation, cobots, manufacturing, aviation, and transportation.
1.1kJan 1, 2023Ai Safety
JournalIEEE Access2024
ChatGPT for Robotics: Design Principles and Model Abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, et al.
This paper presents a strategy combining prompt engineering and a high-level function library to enable ChatGPT for diverse robotics tasks, and introduces the PromptCraft research tool.
712Jan 1, 2024PromptingReasoning
arXiv