Robotics
360 papers
Papers per year
6
2
4
1
1
1
3
1
2
5
6
10
15
21
20
29
41
89
71
32
'10
'15
'20
'25
Papers
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
CVPR 2024
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
NeurIPS 2024
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images
CVPR 2024
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
AAAI 2024
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
NeurIPS 2024
Model Adaptation for Time Constrained Embodied Control
CVPR 2024
MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking
CoRL 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
NeurIPS 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
ICML 2024
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
ICML 2024
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
CoRL 2024
Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
CoRL 2024
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation
CVPR 2024
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
CVPR 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NeurIPS 2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
ICML 2024
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
AAAI 2024
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)
AAAI 2024
Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents
CoRL 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
CVPR 2024
Random Latent Exploration for Deep Reinforcement Learning
ICML 2024
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
NeurIPS 2024
ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning
CoRL 2024
Retrieval-Augmented Embodied Agents
CVPR 2024
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning
ICML 2024