Robotics and Automation
LLM integration in robotic systems for improved control, planning, decision-making, and human-robot interaction
Robotics and Automation
Research on Large Language Models in Robotics and Automation
Foundation Models for Smarter Robots
Transferring AI knowledge to enhance robotic manipulation without extensive data collection
LLMs as Autonomous Driving Decision-Makers
Leveraging language models to solve complex driving scenarios
Intelligent Robotic Planning with LLMs
Using Language Models to Correct Robot Task Execution
Smart Robots That Learn on the Fly
Flexible Task Planning with Language Models for Adaptive Robotics
Teaching Robots to Understand Human Language
Bridging the gap between natural language commands and robotic actions
Unified Robot Intelligence
A New Vision-Language-Action Model for Quadruped Robots
Making Robots Smarter and Safer
Aligning AI Uncertainty with Task Ambiguity
Smart Robot Learning with AI Assistance
Merging LLMs with Reinforcement Learning for Better Robot Exploration
AI-Powered Social Navigation for Robots
Integrating LLMs with Reinforcement Learning for Human-Interactive Robot Navigation
Smarter Robot Analysis using LLMs
Automating the evaluation of robotic tasks with language models
Language-Powered Robot Formations
Teaching robots to form patterns using only natural language
Smarter Robot Planning with LLMs
Decomposed planning improves efficiency and feasibility for long-term robot tasks
LLMs Powering Quadrupedal Robots
Enabling complex problem-solving beyond simple motion tasks
Vision-Language-Action Models: The Future of Embodied AI
Bridging the gap between perception, comprehension, and robotic action
Supercharging Robot Intelligence
Combining Behavior Trees with LLM Reasoning
Language-Powered Robots
Bridging Natural Language and Robotic Control Systems
Breaking Ground in 3D-Language Models
Combating hallucination through robust 3D environment grounding
Teaching Robots with Language
Using LLMs to accelerate hierarchical reinforcement learning
Smart Dual-Arm Robot Planning
Coordinating robot arms for complex tasks with dependency-aware planning
Bridging the Human-Robot Divide
Improving robotic manipulation through enhanced visual pre-training
LLaRA: Teaching Robots with VLMs
Enhancing robot learning with efficient vision-language models
Collision-Aware Robotic Manipulation
Language-guided diffusion models for adaptable robot control
LLM-A*: Large Language Model Enhanced Incremental Heuristic ...
By Silin Meng, Yiwei Wang...
AI-Powered Robot Evolution
Using LLMs to automatically design and optimize robot morphology
Smart Robots That Reason
Enhancing Robot Control through Embodied Chain-of-Thought Reasoning
Teaching Robots to See Possibilities
Guiding Reinforcement Learning with Visual Cues for Better Robotics
Revolutionizing Robot Learning
A Therblig-Based Framework for Predictable, Generalizable Robot Tasks
RoboTwin: Revolutionizing Dual-Arm Robotics
Using generative models to create synthetic training data for complex manipulation tasks
Smarter Robot Planning with AI
Using LLMs to simplify complex robotic task planning
Smarter Social Navigation for Robots
Using LLMs for Natural Conversations in Human-Robot Interactions
LLMs as Intelligent Navigation Copilots
Enhancing Robot Navigation with External Information & Semantic Understanding
LLM-Guided Bipedal Robots
An end-to-end framework for autonomous robotic deployment
Breaking Language Barriers in Robotics
Using Formal Logic to Clarify Natural Language Commands for Robots
Self-Reflective Robot Navigation
Enhancing LLMs with Experience-Based Adaptation
3D-TAFS: Bridging Language and Robotic Action
A Training-Free Framework for 3D Affordance Understanding
Smarter Robot Planning with LLMs
Automating Behavior Tree Generation for Complex Assembly Tasks
Multi-Modal Learning for Robotic Manipulation
Enhancing LLMs with vision and force feedback for precision tasks
Smarter Robot Planning with LLMs
Leveraging language models to bootstrap object-level planning for robots
Smart Social Robot Navigation
Teaching robots to navigate human spaces with lifelong learning
KARMA: Enhancing AI with Human-like Memory
Dual-memory system for improved embodied AI performance
Enhancing Visual Adaptability in Robotic AI
Overcoming visual domain limitations in robotic foundation models
Smarter Robots for Complex Tasks
Overcoming logical errors and hallucinations in embodied AI planning
Smart Self-Learning Robots
Using LLMs to Design Automated Training Curricula for Robotic Skills
Efficient Language-Guided Robot Grasping
A Parameter-Efficient Framework for Robot Vision-Language Integration
Safe & Efficient Robot Planning with LLMs
Creating constraint-aware task plans for robot agents
3D Robot Manipulation Revolution
Using Grounded Spatial Value Maps to Enhance Robotic Performance
Smart Robots That Understand Vague Instructions
SPINE: How AI enables robots to plan missions with incomplete natural language
Faster, Smarter Robots with HiRT
Hierarchical Robot Transformers: Balancing Intelligence with Speed
Teaching Robots Through Conversation
Enabling LLMs to Predict Robot Actions Without Training
Language-Based Negotiation for Multi-Robot Systems
Enhancing safety and efficiency in collaborative robot learning
Smart Safety for Robot Manipulation
Teaching Robots Common-Sense Safety Constraints
Transforming Robot Learning
Diffusion Transformers for Flexible Action Control
Teaching Robots Through Language
Making Robotics Accessible Through Natural Language Commands
Zero-shot Object-Centric Instruction Following: Integrating ...
By Sonia Raychaudhuri, Duy Ta...
Smart Multi-Robot Coordination
Using LLMs to Handle Complex Task Dependencies
Smarter Robotic Grasping with AI
Combining LLMs and Quality Diversity for Zero-Shot Task-Aware Manipulation
Enhancing Robot Spatial Intelligence
Teaching 2D and 3D Vision-Language Models to Understand Space
AI Navigation at Sea: LLMs for Maritime Decision-Making
Using Large Language Models to Enable COLREGs-Compliant Autonomous Surface Vehicles
Smart Robot Hands That Learn & Adapt
Advancing dexterous manipulation through interaction-aware diffusion planning
Teaching Robots to Generalize
Improving Robot Policy through Human Preferences
RoboMatrix: Revolutionizing Robot Task Execution
A skill-centric approach for adaptive robot capabilities in open-world environments
AI-Powered Clay Sculpting Robots
From Text Instructions to 3D Physical Shapes
Teaching Robots Through Video Observation
Using Latent Motion Tokens to Bridge Human Motion and Robot Action
Enhancing 3D Spatial Understanding in AI
Making MLLMs Better at Object Disambiguation in Complex Environments
Adaptive LLMs for Smarter Human-Robot Teams
Enhancing collaboration through dynamic communication support
Smart Robot Tool Use
Teaching Robots to Manipulate Objects Like Humans
Revolutionizing Robot Grasping with AI
Teaching robots to grasp objects intelligently using natural language
RoboMIND: Advancing Multi-Embodiment Robotics
A benchmark dataset for diverse robot manipulation tasks
Real-Time Robot Intelligence
Eliminating Latency in Multimodal LLMs for Quadruped Robots
Making Robots Understand Human Intent Naturally
Combining Voice Commands with Pointing Gestures through LLM Integration
Control Engineering for LLMs
Using Predictive Control to Enhance LLM Planning Capabilities
Self-Correcting Robots
Teaching robots to reflect on and fix their own mistakes
Smarter Robots via Language Models
Using LLMs to Revolutionize Robot Navigation in Dynamic Environments
Smart Mission Planning for Robot Teams
Using LLMs to orchestrate diverse robot capabilities through hierarchical task trees
Enhancing Robot Learning with Vision-Language Models
Improving robotic control through online reinforcement learning
Smart Robots that Make Better Decisions
Enhancing on-device LLM capabilities for robotics in specific domains
Mobile Manipulation Instruction Generation from Multiple Ima...
By Kei Katsumata, Motonari Kambara...
Smart Object Rearrangement for Robots
Using Large Language Models to Enhance Robot Precision and Adaptability
Bridging AI Vision and Robotic Action
How LMM-3DP Enables Robots to Plan and Execute Complex Tasks
Making Robots Understand Language on Everyday Hardware
A modular framework that runs on consumer GPUs without retraining
Reasoning First, Actions Later
Enhancing Robot Generalization Without Action Labels
STRIDE: AI-Powered Humanoid Robotics
Automating Reward Design for Robot Locomotion
Hierarchical Intelligence for Robot Manipulation
Bridging the Gap Between Foundation Models and Robotics
AI-Powered Robot Task Planning
Combining LLMs with Genetic Programming for Better Automation
RoboBERT: AI-Powered Robotic Manipulation
A more efficient end-to-end model for embodied intelligence
3D-Grounded Robotics Planning
Enhancing Robotic Precision with 3D Vision-Language Integration
Smart Navigation for Autonomous Delivery
Combining Foundation Models with Classical Navigation Methods
Teaching Robots Through YouTube
Scaling Manipulation Tasks Using Internet Videos
3D Flow: The Missing Link for Robotic Language Control
Using motion prediction to bridge language commands and robot actions
Visual Aids for Human-Robot Communication
Enhancing task collaboration through generative AI interfaces
Teaching Robots to Understand Implicit Requests
Bridging the Gap Between Human Speech and Robot Understanding
Teaching Robots to Learn from Human Preferences
Combining Vision and Language to Improve Embodied Manipulation
Teaching Robots to Understand Human Language
A breakthrough framework for natural language to robot motion translation
RobotIQ: Making Robots Understand Human Language
Enabling mobile robots to interpret and execute natural language commands
Magma: The Next Generation AI Agent
Bridging verbal intelligence with spatial-temporal capabilities
Bridging the Gap in Robotic Spatial Intelligence
Teaching robots to understand object orientations for precise manipulation
Smart Navigation for Home Robots
Using Visual Predictors for Zero-Shot Navigation in Unfamiliar Environments
Unified Robot Intelligence: Vision, Language & Action
Overcoming challenges in multimodal robot learning
Vision-Guided Humanoid Robots
Integrating Vision, Language, and Motion for Autonomous Robot Control
Mojito: Revolutionizing Motion Analysis with IMUs
Harnessing LLMs to process jitter-reduced inertial data for human movement analysis
Smarter Navigation Systems with AI
Using Large Language Models to Solve Complex Navigation Challenges
Teaching Robots Through Natural Language
A new approach to robot path planning using human instructions
Intelligent Convoy Management with LLMs
Using AI to enable dynamic multi-lane convoy control for autonomous vehicles
Teaching Robots Without Showing Them How
Object-Focused Manipulation Without Demonstration Data
Smarter Robots, Fewer Training Examples
Pre-training world models enables sample-efficient reinforcement learning
RoboBrain: Making Robots Smarter
A unified brain model bridging abstract thinking and concrete manipulation
Smart Underwater Vehicles in Rough Seas
LLM-Enhanced AI Control Systems for Extreme Ocean Conditions
Closed-Loop Intelligence for Embodied Systems
Enhancing robotic task execution in dynamic environments
Smarter Robot Planning Through Language
Using LLMs to Transform Vague Instructions into Clear Task Plans
Smart Path Planning for Robots
LLMs for Cost-Efficient Navigation Across Multiple Terrains
Code as Robot Planner
Leveraging LLMs to generate symbolic code for robot planning
AI as a Design Partner for Robotics
How Large Language Models Can Select Optimal Soft Robot Designs
Smarter Robots: Understanding Object Functionality
A generalizable, lightweight approach to affordance reasoning
OTTER: Revolutionizing Robotic Decision-Making
Text-Aware Visual Processing for Enhanced Robotic Control
Securing LLM-Powered Robots
Combining AI capabilities with formal safety guarantees
Autonomous Robots Using LLMs
Bridging Language Models and Reinforcement Learning for Smarter Robotic Systems
From Versatile to Virtuoso Robots
Refining generalist AI into specialized robotic experts
Revolutionizing Robotic Assembly
Zero-Shot Peg Insertion Using Vision-Language Models
Trinity: Next-Generation Humanoid Robot Intelligence
A modular AI system integrating language, vision, and motion control
Teaching Robots to Understand Physical Limits
Enhancing visual language models with spatial awareness for robotics
Supercharging Lightweight LLMs for Robotics
Enhancing reasoning capabilities for complex task planning
Bridging the Gap in Robot Learning
Foundation Models for Physical Agency Through Procedural Generation
Benchmarking Home Robots
A comprehensive framework for language-controlled mobile manipulation robots
3D Foundation Policies for Robotics
Advancing Robotic Manipulation Through 3D-Aware Foundation Models
Natural Voice & Gesture Robot Interaction
Zero-shot HRI system using LLMs to understand natural human commands
Smarter Robots for Cluttered Environments
Efficient language-guided pick and place using unconditioned action priors
LLM-Powered Social Robot Navigation
Multi-Agent LLMs for Smarter, More Adaptive Robot Movement in Human Environments
Smarter Robot Navigation with Vi-LAD
Teaching robots social navigation skills using vision-language models
Unifying Vision and Dynamics for Robotic Manipulation
Using keypoints to enable open-vocabulary robotic tasks
Hybrid Robots: Smarter Actions Through AI
Combining diffusion and autoregression for improved robotic manipulation
TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-...
By Hongxiang Zhao, Xingchen Liu...
Smart Robots That Understand Instructions
Teaching Robots to Process Language, Images, and Maps Together
Bridging Intelligence and Physical Capabilities
A Modular Approach to Humanoid Robotics with Vision-Language Models
HybridGen: Smarter Robots Through Imitation
VLM-Guided Planning for Scalable Robotic Learning
Mobile Robots that Understand Human Instructions
Extending Vision-Language-Action Models to Mobile Manipulation
Smarter Robot Controllers with AI
Using LLMs to Fix Robot Logic Faster and More Efficiently
V-Droid: Revolutionizing Mobile Task Automation
Using LLMs as Verifiers Instead of Generators for More Reliable Mobile GUI Agents
Smart Robotic Grasping with Language
Teaching Robots to Understand Physical Properties Through Language Models
Making Robots Understand Human Intent
Integrating Gaze and Speech for Intuitive Human-Robot Interaction
Recovering from the Unknown
How Large Language Models Can Rescue Reinforcement Learning Agents
Smarter Two-Handed Robots
Using LLMs to Enable Complex Bimanual Task Planning
AI-Powered Aerial Manufacturing
Using LLMs to Enable Precision Drone Construction
RAIDER: LLM-Powered Robotic Problem Solving
Enhancing robots' ability to detect, explain and recover from action issues
Enhancing Robotic Intelligence with LLMs
A hierarchical reinforcement learning approach for complex tasks
Optimizing Robot Training Data
Enhancing robotic manipulation with strategically collected data
Bridging AI and Physical Robotics
How Gemini 2.0 is enabling robots to interact with the real world
Smart Navigation for Robots Using LLMs
Improving object-finding capabilities with language model reasoning
Efficient Robot Control with Dynamic Layer-skipping
Reducing computational demands in vision-language models for robotics
Smarter Robots Through Vision-Language Feedback
Enabling robots to execute complex tasks without specialized training data
Visual Reasoning for Smarter Robots
Enhancing Robotic Decision-Making with Chain-of-Thought Reasoning
Smart Robots That Adapt to Obstacles
Using AI language models to help robots navigate challenging environments
Grounding LLM Knowledge for Robot Manipulation
Teaching robots physical common sense through language models
Revolutionizing Soft Robotics with Meta-Origami
A novel approach to programmable nonlinear inflatable actuators
GPT-4 Powered Robotics
Real-Time Reactive Framework for Safer Robotic Behavior
GenSwarm: AI-Powered Robot Policy Generation
Automating multi-robot control with language models
Intelligent Robot Planning with LLMs
Enabling Smooth Human-Robot Interaction through Contextual Planning
Teaching Robots Common Sense
A New Framework to Help Robots Understand Their Environment
Smart Robot Decision-Making
LLMs Autonomously Selecting Optimal Control Strategies
Decoding Self-Handover Behaviors
First Systematic Taxonomy of How Humans Transfer Objects Between Their Hands
Teaching Robots to Understand Human Language
A framework for converting verbal commands into precise robot movements
Smarter Shelf-Picking Robots
Multimodal Human-Robot Collaboration for Warehouse Efficiency
Structured Scene Understanding for Robotic Planning
Improving state grounding capabilities through domain-specific scene graphs
Building Smarter 3D Vision for Robots
Enhancing robotic understanding through diverse semantic maps
Robust Robotic Rearrangement
Using Language Models to Handle Task Disruptions
Language-Driven Robot Adaptation
Using LLMs to Transform Robotic Trajectory Planning
