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07/18/2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Large-scale online recommender system spreads all over the Internet bein...
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04/25/2023
MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes
Manipulation relationship detection (MRD) aims to guide the robot to gra...
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03/14/2023
Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction
In scenarios involving the grasping of multiple targets, the learning of...
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02/08/2022
Robotic Grasping from Classical to Modern: A Survey
Robotic Grasping has always been an active topic in robotics since grasp...
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12/08/2021
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Due to the representation limitation of the joint Q value function, mult...
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12/02/2021
Multi-Agent Intention Sharing via Leader-Follower Forest
Intention sharing is crucial for efficient cooperation under partially o...
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09/18/2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
Multi-goal reinforcement learning (RL) aims to qualify the agent to acco...
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08/29/2021
MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection
Point clouds and images could provide complementary information when rep...
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07/14/2021
Probabilistic Human Motion Prediction via A Bayesian Neural Network
Human motion prediction is an important and challenging topic that has p...
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04/29/2021
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
Despite the impressive progress achieved in robust grasp detection, robo...
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12/07/2020
Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation
Cooperative multi-agent tasks require agents to deduce their own contrib...
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08/09/2020
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) is a challenging topic that has pr...
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02/28/2020
REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds
Learning a robust representation of robotic grasping from point clouds i...
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07/29/2019
Hindsight Trust Region Policy Optimization
As reinforcement learning continues to drive machine intelligence beyond...
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09/19/2018
RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network
Autonomous robotic grasp plays an important role in intelligent robotics...
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09/08/2018
A Real-time Robotic Grasp Approach with Oriented Anchor Box
Grasp is an essential skill for robots to interact with humans and the e...
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08/30/2018
RoI-based Robotic Grasp Detection in Object Overlapping Scenes Using Convolutional Neural Network
Grasp detection is an essential skill for widespread use of robots. Rece...
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03/06/2018
Fully Convolutional Grasp Detection Network with Oriented Anchor Box
In this paper, we present a real-time approach to predict multiple grasp...
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02/24/2018