Attribute-based robotic gras** with one-grasp adaptation

Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测
[Free GPT-4]
[DeepSeek]
[PDF] mlr.press

Graph inverse reinforcement learning from diverse videos

S Kumar, J Zamora, N Hansen… - … on Robot Learning, 2023 - proceedings.mlr.press
Abstract Research on Inverse Reinforcement Learning (IRL) from third-person videos has
shown encouraging results on removing the need for manual reward design for robotic …
Сачувај Цитирај 48 пута наведен Сродни чланци Све верзије (5) HTML верзија
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Reasoning gras** via multimodal large language model

S **, J Xu, Y Lei, L Zhang - ar** with attribute-guided disambiguation
Y Yang, X Lou, C Choi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Interactive robotic gras** using natural language is one of the most fundamental tasks in
human-robot interaction. However, language can be a source of ambiguity, particularly …
Сачувај Цитирај 32 пута наведен Сродни чланци Све верзије (5)
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Learning 6-dof object poses to grasp category-level objects by language instructions

C Cheang, H Lin, Y Fu, X Xue - 2022 International Conference …, 2022 - ieeexplore.ieee.org
This paper studies the task of any objects gras** from the known categories by free-form
language instructions. This task demands the technique in computer vision, natural …
Сачувај Цитирај 20 пута наведен Сродни чланци Све верзије (4)
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Wall-e: Embodied robotic waiter load lifting with large language model

T Wang, Y Li, H Lin, X Xue, Y Fu - ar** in dense clutter
X Lou, Y Yang, C Choi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Robots in the real world frequently come across identical objects in dense clutter. When
evaluating grasp poses in these scenarios, a target-driven gras** system requires …
Сачувај Цитирај 20 пута наведен Сродни чланци Све верзије (5)
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Attribute-based robotic gras** with data-efficient adaptation

Y Yang, H Yu, X Lou, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Robotic gras** is one of the most fundamental robotic manipulation tasks and has been
the subject of extensive research. However, swiftly teaching a robot to grasp a novel target …
Сачувај Цитирај 4 пута наведен Сродни чланци Све верзије (6)

Learning target-oriented push-gras** synergy in clutter with action space decoupling

E Li, H Feng, S Zhang, Y Fu - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
We explore a method for gras** novel target objects through push-gras** synergy in a
cluttered environment without using object detection and segmentation algorithms. The …
Сачувај Цитирај 14 пута наведен Сродни чланци
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Iosg: Image-driven object searching and gras**

H Yu, X Lou, Y Yang, C Choi - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
When robots retrieve specific objects from cluttered scenes, such as home and warehouse
environments, the target objects are often partially occluded or completely hidden. Robots …
Сачувај Цитирај 7 пута наведен Сродни чланци Све верзије (5)

Few-shot instance gras** of novel objects in clutter

W Guo, W Li, Z Hu, Z Gan - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
Instance gras**, which aims to grasp a specific object out of clutter, is a fundamental task
within robotics. However, allowing a robot to quickly learn to perform instance gras** for …
Сачувај Цитирај 12 пута наведен Сродни чланци