Zobrazeno 1 - 10
of 1 477
pro vyhledávání: '"Karydis, A."'
Unmanned and intelligent agricultural systems are crucial for enhancing agricultural efficiency and for helping mitigate the effect of labor shortage. However, unlike urban environments, agricultural fields impose distinct and unique challenges on au
Externí odkaz:
http://arxiv.org/abs/2412.02899
The integration of augmented reality (AR), extended reality (XR), and virtual reality (VR) technologies in agriculture has shown significant promise in enhancing various agricultural practices. Mobile robots have also been adopted as assessment tools
Externí odkaz:
http://arxiv.org/abs/2411.03483
Autor:
Ghosh, Udita, Raychaudhuri, Dripta S., Li, Jiachen, Karydis, Konstantinos, Roy-Chowdhury, Amit K.
Offline imitation learning enables learning a policy solely from a set of expert demonstrations, without any environment interaction. To alleviate the issue of distribution shift arising due to the small amount of expert data, recent works incorporat
Externí odkaz:
http://arxiv.org/abs/2410.03626
In this paper, we develop an embodied AI system for human-in-the-loop navigation with a wheeled mobile robot. We propose a direct yet effective method of monitoring the robot's current plan to detect changes in the environment that impact the intende
Externí odkaz:
http://arxiv.org/abs/2409.19459
This paper addresses the challenge of developing a multi-arm quadrupedal robot capable of efficiently harvesting fruit in complex, natural environments. To overcome the inherent limitations of traditional bimanual manipulation, we introduce the first
Externí odkaz:
http://arxiv.org/abs/2409.17116
Autor:
Peiris, Pamodya, Samanta, Aritra, Mucchiani, Caio, Simons, Cody, Roy-Chowdhury, Amit, Karydis, Konstantinos
Water is often overused in irrigation, making efficient management of it crucial. Precision Agriculture emphasizes tools like stem water potential (SWP) analysis for better plant status determination. However, such tools often require labor-intensive
Externí odkaz:
http://arxiv.org/abs/2409.16412
Robotic fruit harvesting holds potential in precision agriculture to improve harvesting efficiency. While ground mobile robots are mostly employed in fruit harvesting, certain crops, like avocado trees, cannot be harvested efficiently from the ground
Externí odkaz:
http://arxiv.org/abs/2408.09058
Autor:
Shi, Lu, Haseli, Masih, Mamakoukas, Giorgos, Bruder, Daniel, Abraham, Ian, Murphey, Todd, Cortes, Jorge, Karydis, Konstantinos
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as a powerful modeling and learning-based control method enabling significant advancements across various domains of robotics. Due to its ability to represent nonli
Externí odkaz:
http://arxiv.org/abs/2408.04200
This paper presents a comprehensive analysis of the contact force profile of a single-cell bidirectional soft pneumatic actuator, specifically designed to aid in the abduction and adduction of the shoulder for pediatric exosuits. The actuator was emb
Externí odkaz:
http://arxiv.org/abs/2407.12978
Bio-inspired robotic systems are capable of adaptive learning, scalable control, and efficient information processing. Enabling real-time decision-making for such systems is critical to respond to dynamic changes in the environment. We focus on dynam
Externí odkaz:
http://arxiv.org/abs/2407.11377