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Robotics
102 directly classified papers
Subtopics
Systems (5)
Applications (1)
Capabilities (1)
Papers per year
2006: 2
2008: 2
2011: 5
2012: 6
2013: 2
2014: 1
2015: 4
2016: 3
2017: 7
2018: 4
2019: 10
2020: 18
2021: 7
2022: 5
2023: 3
2024: 12
2025: 11
Papers
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
AAAI 2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
CVPR 2020
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances
CVPR 2020
SAPIEN: A SimulAted Part-Based Interactive ENvironment
CVPR 2020
Functionality Discovery and Prediction of Physical Objects
AAAI 2020
Joint Texture and Geometry Optimization for RGB-D Reconstruction
CVPR 2020
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
AAAI 2019
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
RSS 2019
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering
RSS 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
CORL 2019
Learning to Walk Via Deep Reinforcement Learning
RSS 2019
Learning Navigation Subroutines from Egocentric Videos
CORL 2019
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching
RSS 2019
Planning with State Abstractions for Non-Markovian Task Specifications
RSS 2019
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps
RSS 2019
Recent Advances in Imitation Learning from Observation
IJCAI 2019
A Variable Stiffness Gripper with Antagonistic Magnetic Springs for Enhancing Manipulation
RSS 2018
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty
RSS 2018
Efficiently Sampling from Underlying Models
RSS 2018
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers
IJCAI 2018
Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem
RSS 2017
Job Selection in a Network of Autonomous UAVs for Delivery of Goods
RSS 2017
DART: Noise Injection for Robust Imitation Learning
CORL 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
CORL 2017
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models
CORL 2017
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