yusuke1997/dblp-id-title huggingface dataset:
Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms
Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning
Learning to Jump from Pixels
Learning to Predict Vehicle Trajectories with Model-based Planning
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
Rearrangement Planning for General Part Assembly
Data-Efficient Model Learning for Control with Jacobian-Regularized Dynamic-Mode Decomposition
Real-World Robot Learning with Masked Visual Pre-training
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations
Open-World Object Manipulation using Pre-Trained Vision-Language Models
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming
Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation
Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
HYDRA: Hybrid Robot Actions for Imitation Learning
AR2-D2: Training a Robot Without a Robot
Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation
Iterative Interactive Modeling for Knotting Plastic Bags
Graph Inverse Reinforcement Learning from Diverse Videos
Embodied Lifelong Learning for Task and Motion Planning
Learning to Look: Seeking Information for Decision Making via Policy Factorization
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Equivariant Diffusion Policy
Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
T 2 SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects
A Divergence Minimization Perspective on Imitation Learning Methods
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models
Region-aware Grasp Framework with Normalized Grasp Space for Efficient 6-DoF Grasping
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real
Influencing Behavioral Attributions to Robot Motion During Task Execution
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor
Volumetric-based Contact Point Detection for 7-DoF Grasping
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation
Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Task-Oriented Koopman-Based Control with Contrastive Encoder
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems
Progressive Multi-Modal Fusion for Robust 3D Object Detection
Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
Assisted Perception: Optimizing Observations to Communicate State
Rethinking Optimization with Differentiable Simulation from a Global Perspective
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills
Augmenting GAIL with BC for sample efficient imitation learning
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
Bayesian RL for Goal-Only Rewards
Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Safe Robot Learning in Assistive Devices through Neural Network Repair
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Action Space Design in Reinforcement Learning for Robot Motor Skills
From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics
4D-Former: Multimodal 4D Panoptic Segmentation
Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views
Understanding Teacher Gaze Patterns for Robot Learning
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Bimanual Dexterity for Complex Tasks
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL
INQUIRE: INteractive Querying for User-aware Informative REasoning
IntentNet: Learning to Predict Intention from Raw Sensor Data
Generative adversarial training of product of policies for robust and adaptive movement primitives
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation
Learning value functions with relational state representations for guiding task-and-motion planning
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
Learning Hybrid Control Barrier Functions from Data
Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents
SE(3)-Equivariant Point Cloud-Based Place Recognition
PLAS: Latent Action Space for Offline Reinforcement Learning
CLASP: Constrained Latent Shape Projection for Refining Object Shape from Robot Contact
Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
End-to-End Learning of Semantic Grasping
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
Evaluating Real-World Robot Manipulation Policies in Simulation
Manipulation via Membranes: High-Resolution and Highly Deformable Tactile Sensing and Control
SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions
Strength Through Diversity: Robust Behavior Learning via Mixture Policies
Identifying Unknown Instances for Autonomous Driving
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Planning Paths through Occlusions in Urban Environments
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight
Deep Reactive Planning in Dynamic Environments
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration
Predicting Stable Configurations for Semantic Placement of Novel Objects
Generative Category-Level Shape and Pose Estimation with Semantic Primitives
Online Inverse Reinforcement Learning with Learned Observation Model
Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling
Implicit Grasp Diffusion: Bridging the Gap between Dense Prediction and Sampling-based Grasping
Learning to Regrasp by Learning to Place
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Leveraging exploration in off-policy algorithms via normalizing flows
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Deep Kernels for Optimizing Locomotion Controllers
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks
Visual Whole-Body Control for Legged Loco-Manipulation
Online Learning for Obstacle Avoidance
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
Learning a visuomotor controller for real world robotic grasping using simulated depth images
Learning Parametric Constraints in High Dimensions from Demonstrations
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Learning Latent Representations to Influence Multi-Agent Interaction
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning
ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter
One-Shot Imitation Learning: A Pose Estimation Perspective
Curious iLQR: Resolving Uncertainty in Model-based RL
SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People
Genetic Algorithm for Curriculum Design in Multi-Agent Reinforcement Learning
Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation
Worst Cases Policy Gradients
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
One-Shot Transfer of Affordance Regions? AffCorrs!
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video
Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design
Nonverbal Robot Feedback for Human Teachers
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer
Collect & Infer - a fresh look at data-efficient Reinforcement Learning
Dual-Arm Adversarial Robot Learning
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Data Efficient Reinforcement Learning for Legged Robots
Learning Eye-in-Hand Camera Calibration from a Single Image
Rapid Exploration for Open-World Navigation with Latent Goal Models
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot
ARC - Actor Residual Critic for Adversarial Imitation Learning
Probabilistic and Geometric Depth: Detecting Objects in Perspective
Feature Learning for Scene Flow Estimation from LIDAR
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
Implicit Behavioral Cloning
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems
Sim-to-Real Transfer for Vision-and-Language Navigation
Reasoning Grasping via Multimodal Large Language Model
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
Learning Interpretable BEV Based VIO without Deep Neural Networks
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
The EMPATHIC Framework for Task Learning from Implicit Human Feedback
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Learning Multimodal Rewards from Rankings
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
StrObe: Streaming Object Detection from LiDAR Packets
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions
Planning Paths Through Unknown Space by Imagining What Lies Therein
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
Dynamic Experience Replay
SonicSense: Object Perception from In-Hand Acoustic Vibration
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation
SHADOW: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Self-Paced Contextual Reinforcement Learning
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example
One-Shot Visual Imitation Learning via Meta-Learning
Language to Rewards for Robotic Skill Synthesis
Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation
TaMMa: Target-driven Multi-subscene Mobile Manipulation
Asynchronous Methods for Model-Based Reinforcement Learning
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
Robust Manipulation Primitive Learning via Domain Contraction
Language-guided Manipulator Motion Planning with Bounded Task Space
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning
Policies Modulating Trajectory Generators
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning
Graph-Structured Visual Imitation
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Visual Localization and Mapping with Hybrid SFA
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Trajectory Improvement and Reward Learning from Comparative Language Feedback
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
UMI-on-Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own
Emergent Behaviors in Mixed-Autonomy Traffic
Task-Embedded Control Networks for Few-Shot Imitation Learning
Neural Field Dynamics Model for Granular Object Piles Manipulation
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
Back to Reality for Imitation Learning
Online Model Adaptation with Feedforward Compensation
Perceptual Attention-based Predictive Control
HDNET: Exploiting HD Maps for 3D Object Detection
Reverse Curriculum Generation for Reinforcement Learning
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
Equivariant Q Learning in Spatial Action Spaces
BayesRace: Learning to race autonomously using prior experience
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools
Learning to Manipulate Object Collections Using Grounded State Representations
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning
Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation
How Robots Learn to Classify New Objects Trained from Small Data Sets
Towards General Single-Utensil Food Acquisition with Human-Informed Actions
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Adaptive Language-Guided Abstraction from Contrastive Explanations
Neural Inverse Source Problem
Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes
1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, California, USA, November 13-15, 2017, Proceedings
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Graph Policy Gradients for Large Scale Robot Control
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
Robust Trajectory Prediction against Adversarial Attacks
Safe Control Under Input Limits with Neural Control Barrier Functions
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
R3M: A Universal Visual Representation for Robot Manipulation
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Offline Reinforcement Learning at Multiple Frequencies
Risk-Averse Zero-Order Trajectory Optimization
Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
Robot Reinforcement Learning on the Constraint Manifold
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation
A Data-Efficient Approach to Precise and Controlled Pushing
Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models
Waypoint-Based Imitation Learning for Robotic Manipulation
In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning
Smooth Exploration for Robotic Reinforcement Learning
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
SayTap: Language to Quadrupedal Locomotion
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects
Learning Vision-based Reactive Policies for Obstacle Avoidance
Detecting Incorrect Visual Demonstrations for Improved Policy Learning
Safe Driving via Expert Guided Policy Optimization
Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control
Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting
Geometry Matching for Multi-Embodiment Grasping
Attention-Privileged Reinforcement Learning
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Adaptable replanning with compressed linear action models for learning from demonstrations
Counter-example Guided Learning of Bounds on Environment Behavior
Embodied Semantic Scene Graph Generation
Learning Stability Certificates from Data
LILA: Language-Informed Latent Actions
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops
Human-in-the-Loop Task and Motion Planning for Imitation Learning
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
Diverse Plausible Shape Completions from Ambiguous Depth Images
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space
One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits
Contrast Sets for Evaluating Language-Guided Robot Policies
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
Promptable Closed-loop Traffic Simulation