Investigation of adopting large language model to generate robotics control based on designed prompt

Investigation of adopting large language model to generate robotics control based on designed prompt

This project aims to explore the effectiveness of using large language models to generate control instructions for robotics applications. Recent advancements in deep learning techniques have led to the development of Large Pre-Trained Language Models like GPT-3 and GPT-4, which have shown great resu...

Saved in:

書目詳細資料
主要作者:	Pan, Junyu
其他作者:	Xie Lihua
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2024
主題:	Engineering
在線閱讀:	https://hdl.handle.net/10356/177119
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Attack prompt generation for red teaming and defending large language models
由: DENG, Boyi, et al.
出版: (2023)

Large language model enhanced with prompt-based vanilla distillation for sentence embeddings
由: Wang, Minghao
出版: (2024)

Robust prompt optimization for large language models against distribution shifts
由: LI, Moxin, et al.
出版: (2023)

Prompting and evaluating large language models for proactive dialogues: Clarification, target-guided, and non-collaboration
由: DENG, Yang, et al.
出版: (2023)

Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
由: WANG, Lei, et al.
出版: (2023)

Prompting and evaluating large language models for proactive dialogues: Clarification, target-guided, and non-collaboration
由: DENG, Yang, et al.
出版: (2023)

ASPECT-BASED SENTIMENT ANALYSIS IN INDONESIAN LANGUAGE USING GENERATIVE PRE-TRAINED LANGUAGE MODEL WITH MULTITASK LEARNING AND PROMPTING APPROACH
由: Zakya Suchrady, Randy

Exploratory Prompting of Large Language Models to Act as Co-Pilots for Augmenting Business Process Work in Document Classification
由: Ilagan, Jose Ramon, et al.
出版: (2024)

Prompt-based learning for text classification in natural language processing
由: Xie, Yuanli
出版: (2025)

Position-guided text prompt for vision-language pre-training
由: WANG, Alex Jinpeng, et al.
出版: (2023)

Compositional prompting video-language models to understand procedure in instructional videos
由: Hu, Guyue, et al.
出版: (2023)

Investigating large language model pruning techniques
由: Cheng, Yixiao
出版: (2025)

Intelligent robot grasp planning with multimodal large language model
由: Liu, Songting
出版: (2024)

KNOWLEDGEBASECONSTRUCTION USING LANGUAGE MODELWITH GRAPH NEURALNETWORKAND SOFT PROMPTING
由: Zakya Suchrady, Randy

Enhancing visual grounding in vision-language pre-training with position-guided text prompts
由: WANG, Alex Jinpeng, et al.
出版: (2024)

Genixer : Empowering multimodal Large Language Models as a powerful data generator
由: ZHAO, Henry Hengyuan, et al.
出版: (2024)

How effective are they? Exploring large language model based fuzz driver generation
由: ZHANG, Cen, et al.
出版: (2024)

Unified generative and discriminative training for multi-modal Large Language Models
由: CHOW, Wei, et al.
出版: (2024)

SGSH : Stimulate Large Language Models with skeleton heuristics for knowledge base question generation
由: GUO, Shasha, et al.
出版: (2024)

Design and implementation of performance-based assessment with metacognitive prompts in mathematics
由: Cerrado, Pamela Mae Y.
出版: (2022)

Model-driven smart contract generation leveraging pretrained large language models
由: Jiang, Qinbo
出版: (2024)

Test case generation from specifications using natural language processing and large language models
由: Leung, Andrew Chun Kit
出版: (2025)

Solution generation for university math problems using large language models
由: Wirja, Louis
出版: (2024)

PHYSICS PROBLEM GENERATION THROUGH PATTERN MATCHING AND LARGE LANGUAGE MODELS
由: Marchotridyo

How people prompt generative AI to create interactive VR scenes
由: AGHEL MANESH, Setareh, et al.
出版: (2024)

Prompt for extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
由: MA, Yubo, et al.
出版: (2022)

Personality prediction based on large language models
由: Wee, Jewel Xin Yu
出版: (2024)

MCQGen: a large language model-driven MCQ generator for personalized learning
由: Hang, Ching Nam, et al.
出版: (2024)

ANALYSIS ON LARGE LANGUAGE MODEL VULNERABLE CODE GENERATION AND SELF-REPAIR ABILITY
由: KIM SUNG YONG
出版: (2024)

Isolating compiler bugs by generating effective witness programs with Large Language Models
由: TU, Haoxin, et al.
出版: (2024)

Beyond factuality: A comprehensive evaluation of large language models as knowledge generators
由: CHEN, Liang, et al.
出版: (2023)

Reducing hallucinations in large language models through retrieval-augmented generation (RAG)
由: Jadhav Chaitanya Dhananjay
出版: (2025)

Generate vulnerable transaction sequences for smart contract using large language models
由: Advait Bharat Deshpande
出版: (2025)

Let’s think outside the box: Exploring leap-of-thought in large language models with multimodal humor generation
由: ZHONG, Shanshan, et al.
出版: (2024)

Natural multimodal fusion-based human-robot interaction: application with voice and deictic posture via large language model
由: Lai, Yuzhi, et al.
出版: (2025)

NVP-HRI: zero shot natural voice and posture-based human–robot interaction via large language model
由: Lai, Yuzhi, et al.
出版: (2025)

Subjective video quality evaluation for user generated contents via textual prompts
由: Ang, Dario
出版: (2024)

ClusterPrompt: Cluster semantic enhanced prompt learning for new intent discovery
由: LIANG, Jinggui, et al.
出版: (2023)

Decentralized adaptive controller design of large-scale uncertain robotic systems
由: Tan, K.K., et al.
出版: (2014)

Large language model (LLM) with retrieve-augmented generation (RAG) for legal case research
由: Liu, Zihao
出版: (2024)