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References from Enhancing stability and reliability in LLM-driven robotic manipulation through human skill demonstration and visual tracking. Local targets link to admitted publications; unresolved targets remain external evidence.
Peer review of GPT-4 technical report and systems card
10.1371/journal.pdig.0000417 · 2024 · External reference
10.1145/3716489.3728431
10.1145/3716489.3728431 · External reference
Are large language models really good logical reasoners? a comprehensive evaluation and beyond
10.1109/tkde.2025.3536008 · 2025 · External reference
10.18653/v1/2023.findings-acl.67
10.18653/v1/2023.findings-acl.67 · External reference
Robogpt: an llm-based long-term decision-making embodied agent for instruction following tasks
2025 · External reference
Enhancing the llm-based robot manipulation through human-robot collaboration
2024 · External reference
ReplanVLM: Replanning robotic tasks with visual language models
10.1109/lra.2024.3471457 · 2024 · External reference
Progprompt: Generating situated robot task plans using large language models
2023 · External reference
Differentiable parsing and visual grounding of natural language instructions for object placement
2023 · External reference
Physically grounded vision-language models for robotic manipulation
2024 · External reference
Chain-of-thought prompting elicits reasoning in large language models
2022 · External reference
Large language models are zero-shot reasoners
2022 · External reference
Unresolved reference
External reference
10.18653/v1/2023.acl-long.147
10.18653/v1/2023.acl-long.147 · External reference
Do as i can, not as i say: Grounding language in robotic affordances
2023 · External reference
Text2motion: From natural language instructions to feasible plans
10.1007/s10514-023-10131-7 · 2023 · External reference
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
2023 · External reference
Prompting is programming: A query language for large language models
10.1145/3591300 · 2023 · External reference
RobotGPT: Robot manipulation learning from ChatGPT
10.1109/lra.2024.3357432 · 2024 · External reference
Object-centric instruction augmentation for robotic manipulation
2024 · External reference
10.1109/iros60139.2025.11246020
10.1109/iros60139.2025.11246020 · External reference
Rlingua: Improving reinforcement learning sample efficiency in robotic manipulations with large language models
2024 · External reference
Object-centric task and motion planning in dynamic environments
10.1109/lra.2020.2965875 · 2020 · External reference
6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark
2022 · External reference
10.1109/iccv51070.2023.00371
10.1109/iccv51070.2023.00371 · External reference
10.1109/cvpr52733.2024.01692
10.1109/cvpr52733.2024.01692 · External reference
Vision-language interpreter for robot task planning
2024 · External reference
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
2024 · External reference
Gpt-4v (ision) for robotics: Multimodal task planning from human demonstration
10.1109/lra.2024.3477090 · 2024 · External reference
Learning grounded finite-state representations from unstructured demonstrations
10.1177/0278364914554471 · 2015 · External reference
RLBench: The robot learning benchmark & learning environment
10.1109/lra.2020.2974707 · 2020 · External reference
Structured chain-of-thought prompting for code generation
2025 · External reference
A survey on llm-based code generation for low-resource and domain-specific programming languages
2024 · External reference
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
2017 · External reference
Robot complex motion learning based on unsupervised trajectory segmentation and movement primitives
10.1016/j.isatra.2019.08.007 · 2020 · External reference