Enrico De Santis - Miscellanea 

Large Language Models and Robotics [2024]

Research Papers

1. Large Language Models for Robotics: A Survey1: This paper provides a comprehensive review of the applications of LLMs in robotics, delving into their impact and contributions to key areas such as robot control, perception, decision-making, and path planning1.

2. AuRo special issue on large language models in robotics2: This special issue of Autonomous Robots focuses on the use of LLMs in robotics. It contains 8 papers covering a range of topics including robotic applications such as chemistry, robotic control, task planning, anomaly detection, and more2.

3. Creative Robot Tool Use with Large Language Models3: This paper discusses the use of LLMs in teaching robots complex skills3.

4. Incremental Learning of Humanoid Robot Behavior from Large Language Models4: This paper presents a system that deploys LLMs for high-level orchestration of the robot’s behavior4.

Blogs

1. Large Language Models-powered Human-Robotic Interactions5: This blog post discusses the potential of LLMs in enhancing human-robotic interactions5.

2. Making robots more helpful with language6: This blog post discusses how the use of LLMs can improve the performance of robots and enable them to execute more complex and abstract tasks6.

3. Exploring the Synergy of Large Language Models and Social Robots with Cognitive Models7: This blog explores the synergies between LLMs and social robots equipped with cognitive models7.

4. Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning8: This blog post discusses a new AI agent developed by NVIDIA Research that uses LLMs to teach robots complex skills8.

5. Using large language models to code new tasks for robots9: This blog post discusses the use of LLMs in coding new tasks for robots9.

Large Language Models and Cognitive Science [2024]

Research Papers

1. Turning large language models into cognitive models1: This paper discusses whether large language models can be turned into cognitive models. It finds that after fine-tuning them on data from psychological experiments, these models offer accurate representations of human behavior1.

2. Cognitive Effects in Large Language Models2: This work tested GPT-3 on a range of cognitive effects, which are systematic patterns usually found in human cognitive tasks. It found that LLMs are indeed prone to several human cognitive effects2.

3. Large language models meet cognitive science: LLMs as tools, models, and participants3: This paper presents innovative research on the possible interactions between cognitive science and large language models3.

Blogs

1. How Large Language Models Will Transform Science, Society, and AI4: This blog post discusses the impact of large language models on various fields, including cognitive science4.

2. Large Language Models: A Cognitive and Neuroscience Perspective5: This blog provides insights into the relationship between large language models and cognitive neuroscience5.

3. 10 Exciting Projects on Large Language Models(LLM)6: This blog post explores 10 exciting projects that harness the power of LLMs6.

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