Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Ma Haoxiang"'
Publikováno v:
Sensors, Vol 24, Iss 6, p 1779 (2024)
Trafficability gives tracked vehicles adaptability, stability, and propulsion for various purposes, including deep-sea research in rough terrain. Terrain characteristics affect tracked vehicle mobility. This paper investigates the soil mechanical int
Externí odkaz:
https://doaj.org/article/3db79194899e46a78f198051391094f8
The problem of reward design examines the interaction between a leader and a follower, where the leader aims to shape the follower's behavior to maximize the leader's payoff by modifying the follower's reward function. Current approaches to reward de
Externí odkaz:
http://arxiv.org/abs/2406.05086
We focus on the generalization ability of the 6-DoF grasp detection method in this paper. While learning-based grasp detection methods can predict grasp poses for unseen objects using the grasp distribution learned from the training set, they often e
Externí odkaz:
http://arxiv.org/abs/2404.01727
This paper focuses on the sim-to-real issue of RGB-D grasp detection and formulates it as a domain adaptation problem. In this case, we present a global-to-local method to address hybrid domain gaps in RGB and depth data and insufficient multi-modal
Externí odkaz:
http://arxiv.org/abs/2403.11511
Referring image segmentation (RIS) aims to segment objects in an image conditioning on free-from text descriptions. Despite the overwhelming progress, it still remains challenging for current approaches to perform well on cases with various text expr
Externí odkaz:
http://arxiv.org/abs/2312.00452
Covert planning refers to a class of constrained planning problems where an agent aims to accomplish a task with minimal information leaked to a passive observer to avoid detection. However, existing methods of covert planning often consider determin
Externí odkaz:
http://arxiv.org/abs/2310.16791
This paper is concerned with the optimal allocation of detection resources (sensors) to mitigate multi-stage attacks, in the presence of the defender's uncertainty in the attacker's intention. We model the attack planning problem using a Markov decis
Externí odkaz:
http://arxiv.org/abs/2304.05962
Planar grasp detection is one of the most fundamental tasks to robotic manipulation, and the recent progress of consumer-grade RGB-D sensors enables delivering more comprehensive features from both the texture and shape modalities. However, depth map
Externí odkaz:
http://arxiv.org/abs/2302.14264
This paper investigates the problem of synthesizing proactive defense systems in which the defender can allocate deceptive targets and modify the cost of actions for the attacker who aims to compromise security assets in this system. We model the int
Externí odkaz:
http://arxiv.org/abs/2301.01336
Autor:
Ma, Haoxiang, Huang, Di
In this paper, we focus on the problem of feature learning in the presence of scale imbalance for 6-DoF grasp detection and propose a novel approach to especially address the difficulty in dealing with small-scale samples. A Multi-scale Cylinder Grou
Externí odkaz:
http://arxiv.org/abs/2212.05275