yusuke1997/dblp-id-title huggingface dataset:
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Sample-efficient Cross-Entropy Method for Real-time Planning
SORNet: Spatial Object-Centric Representations for Sequential Manipulation
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
From pixels to legs: Hierarchical learning of quadruped locomotion
SLAP: Spatial-Language Attention Policies
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
Object-centric Forward Modeling for Model Predictive Control
GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy
Solving Offline Reinforcement Learning with Decision Tree Regression
Conditional Affordance Learning for Driving in Urban Environments
Assisted Robust Reward Design
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
MIRA: Mental Imagery for Robotic Affordances
Robotic Control via Embodied Chain-of-Thought Reasoning
Discovering Robotic Interaction Modes with Discrete Representation Learning
In-Hand Gravitational Pivoting Using Tactile Sensing
Learning Road Scene-level Representations via Semantic Region Prediction
D 3 Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction
Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real
PLOP: Probabilistic Polynomial Objects trajectory Prediction for autonomous driving
Bi-Level Motion Imitation for Humanoid Robots
Meta-Learning Priors for Safe Bayesian Optimization
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
Dexterous Functional Grasping
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
So You Think You Can Scale Up Autonomous Robot Data Collection?
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich Manipulation
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System
Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs
Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing
Receding Horizon Curiosity
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics
Object-Centric Dexterous Manipulation from Human Motion Data
MAME : Model-Agnostic Meta-Exploration
Learning 3D Dynamic Scene Representations for Robot Manipulation
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows
Hybrid system identification using switching density networks
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
Masked World Models for Visual Control
Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA
Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing
To Follow or not to Follow: Selective Imitation Learning from Observations
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
Haptics-based Curiosity for Sparse-reward Tasks
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection
AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch
A Learnable Safety Measure
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Hijacking Robot Teams Through Adversarial Communication
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
Learning Equality Constraints for Motion Planning on Manifolds
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning
3D Neural Scene Representations for Visuomotor Control
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
DeliGrasp: Inferring Object Properties with LLMs for Adaptive Grasp Policies
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
CARLA: An Open Urban Driving Simulator
Topological Semantic Graph Memory for Image-Goal Navigation
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
Deep Value Model Predictive Control
VideoDex: Learning Dexterity from Internet Videos
Few-Shot Goal Inference for Visuomotor Learning and Planning
ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning
Humanoid Parkour Learning
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding
PRISM: Probabilistic Real-Time Inference in Spatial World Models
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Learning hierarchical relationships for object-goal navigation
Hypernetworks in Meta-Reinforcement Learning
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
Fit2Form: 3D Generative Model for Robot Gripper Form Design
PyRoboLearn: A Python Framework for Robot Learning Practitioners
Learning to Improve Multi-Robot Hallway Navigation
ViNT: A Foundation Model for Visual Navigation
Scaling Up Multi-Task Robotic Reinforcement Learning
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments
TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation
Model-free Safe Control for Zero-Violation Reinforcement Learning
Transformers Are Adaptable Task Planners
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays
Self-Improving Semantic Perception for Indoor Localisation
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Learning Realistic Traffic Agents in Closed-loop
Task-Conditioned Variational Autoencoders for Learning Movement Primitives
Visuo-Tactile Transformers for Manipulation
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
Finetuning Offline World Models in the Real World
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination
Fast and Efficient Locomotion via Learned Gait Transitions
Leveraging Language for Accelerated Learning of Tool Manipulation
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation
SCONE: A Food Scooping Robot Learning Framework with Active Perception
MidasTouch: Monte-Carlo inference over distributions across sliding touch
USHER: Unbiased Sampling for Hindsight Experience Replay
Conditional Driving from Natural Language Instructions
DeepMPCVS: Deep Model Predictive Control for Visual Servoing
Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Learning to Localize Using a LiDAR Intensity Map
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Learning Compact Models for Planning with Exogenous Processes
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation
Fully Self-Supervised Class Awareness in Dense Object Descriptors
Non-rigid Relative Placement through 3D Dense Diffusion
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
A Dual Approach to Imitation Learning from Observations with Offline Datasets
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
Toward robots that learn to summarize their actions in natural language: a set of tasks
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Batch Active Preference-Based Learning of Reward Functions
Provably Safe Online Multi-Agent Navigation in Unknown Environments
Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping
Contextual Imagined Goals for Self-Supervised Robotic Learning
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences
ESIM: an Open Event Camera Simulator
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
Learning Heuristic Search via Imitation
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning
Dyadic collaborative Manipulation through Hybrid Trajectory Optimization
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups
Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation
Preference learning for guiding the tree search in continuous POMDPs
Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation
Contrastive Variational Reinforcement Learning for Complex Observations
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing
Interpretable Latent Spaces for Learning from Demonstration
Learning Neuro-Symbolic Skills for Bilevel Planning
PLATO: Predicting Latent Affordances Through Object-Centric Play
Mutual Alignment Transfer Learning
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
Energy-based Potential Games for Joint Motion Forecasting and Control
CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning
Learning Visible Connectivity Dynamics for Cloth Smoothing
Deep Projective Rotation Estimation through Relative Supervision
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
XIRL: Cross-embodiment Inverse Reinforcement Learning
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment
Gradient-free Policy Architecture Search and Adaptation
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
Q-SLAM: Quadric Representations for Monocular SLAM
Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
FindThis: Language-Driven Object Disambiguation in Indoor Environments
Modular meta-learning
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies
Autonomous Improvement of Instruction Following Skills via Foundation Models
Skill-based Model-based Reinforcement Learning
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Social Interactions as Recursive MDPs
An Online Learning Procedure for Feedback Linearization Control without Torque Measurements
Where To Start? Transferring Simple Skills to Complex Environments
Predictive Safety Network for Resource-constrained Multi-agent Systems
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
Semantic Terrain Classification for Off-Road Autonomous Driving
InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation
Inner Monologue: Embodied Reasoning through Planning with Language Models
Learning Multi-Objective Curricula for Robotic Policy Learning
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA
Learning H-Infinity Locomotion Control
Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
Environment Curriculum Generation via Large Language Models
Learning Sampling Distributions for Model Predictive Control
Learning Quadruped Locomotion Using Differentiable Simulation
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation
VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning
Learning Audio Feedback for Estimating Amount and Flow of Granular Material
Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
The Boombox: Visual Reconstruction from Acoustic Vibrations
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
JointMotion: Joint Self-Supervision for Joint Motion Prediction
Language Grounding with 3D Objects
Robot Learning with Sensorimotor Pre-training
A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
Learning to Generalize Kinematic Models to Novel Objects
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
General Flow as Foundation Affordance for Scalable Robot Learning
Online Transfer and Adaptation of Tactile Skill: A Teleoperation Framework
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems
Legged Locomotion in Challenging Terrains using Egocentric Vision
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation
Reactive motion planning with probabilisticsafety guarantees
OpenVLA: An Open-Source Vision-Language-Action Model
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience
Including Uncertainty when Learning from Human Corrections
Motion Perception in Reinforcement Learning with Dynamic Objects
Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration
2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
FetchBench: A Simulation Benchmark for Robot Fetching
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
MUTEX: Learning Unified Policies from Multimodal Task Specifications
Principal Variety Analysis
D 3 RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Mobile ALOHA: Learning Bimanual Mobile Manipulation using Low-Cost Whole-Body Teleoperation
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
Generalization Guarantees for Imitation Learning
Fast robust peg-in-hole insertion with continuous visual servoing
Visuotactile Affordances for Cloth Manipulation with Local Control
One-shot Imitation Learning via Interaction Warping
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
RVT: Robotic View Transformer for 3D Object Manipulation
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness
Continuous Control with Coarse-to-fine Reinforcement Learning
Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Learning Reward Functions from Scale Feedback
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision
Recovering and Simulating Pedestrians in the Wild
SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience
TartanVO: A Generalizable Learning-based VO
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
Action-based Representation Learning for Autonomous Driving
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Learning to Open and Traverse Doors with a Legged Manipulator
Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
In-Hand Object Rotation via Rapid Motor Adaptation
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
Fleet Supervisor Allocation: A Submodular Maximization Approach
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
SLR: Learning Quadruped Locomotion without Privileged Information
Learning Semantics-Aware Locomotion Skills from Human Demonstration
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Self-Supervised Visual Planning with Temporal Skip Connections
Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth