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07/05/2023
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Recent advancements in Large Language Models (LLMs) such as GPT4 have di...
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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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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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08/25/2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
This paper presents INVIGORATE, a robot system that interacts with human...
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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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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
