16 papers · ranked by Valyu relevance
Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov + 3 more
'Vadim Indelman' 'Luca Carlone' 'José A. Castellanos'] Abstract—Active Simultaneous Localization and Mapping (SLAM) is the problem of planning and controlling the motion of a robot to build the most accurate and complete model of the surrounding environment. Since the first foundationa l work in active perception…
Muhammad Farhan Ahmed, Khayyam Masood, Vincent Fremont, Isabelle Fantoni
'Isabelle Fantoni'] This article presents a comprehensive review of the Active Simultaneous Localization and Mapping (A-SLAM) research conducted over the past decade. It explores the formulation, applications, and methodologies employed in A-SLAM, particularly in trajectory generation and control-action selection…
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
— This paper proposes a novel active Simultaneous Localization and Mapping (SLAM) method with continuous trajectory optimization over a stochastic robot dynamics model. The problem is formalized as a stochastic optimal control over the continuous robot kinematic model to minimize a cost function that involves the…
Zhenyuan Yang, Ash Wan Yaw Sang, M. A. Viraj J. Muthugala, Mohan Rajesh Elara
Active Simultaneous Localization and Mapping (A-SLAM) technology enables a robot to autonomously plan its movements to build a comprehensive and accurate map of its surroundings. However, most existing SLAM algorithms are not robust in dynamic environments, as moving objects can negatively impact mapping and…
Mohammad Dehghani Tezerjani, Mohammad Khoshnazar, Mohammadhamed Tangestanizadeh, Qing Yang
'Mohammadhamed Tangestanizadeh' 'Qing Yang'] Abstract—The emergence of mobile robotics, particularly in the automotive industry, introduces a promising era of enriched user experiences and adept handling of complex navigation challenges. The realization of these advancements necessitates a focused technological effort…
Mohit Deshpande, Richard Kim, Dhruva Kumar, Jong Jin Park + 1 more
'Jim Zamiska'] Abstract— Autonomous exploration to build a map of an unknown environment is a fundamental robotics problem. However, the quality of the map directly influences the quality of subsequent robot operation. Instability in a simultaneous localization and mapping (SLAM) system can lead to poorquality maps and…
Jie Yang, Chao-Kai Wen, Shi Jin
—Integrating sensing functions into future mobile equipment has become an important trend. Realizing different types of sensing and achieving mutual enhancement under the existing communication hardware architecture is a crucial challenge in realizing the deep integration of sensing and communication. In the 5G New…
Xukang Kan, Gefei Shi, Xuerong Yang, Xinwei Hu + 1 more
Traditional SLAM systems assume a static environment, but moving objects break this ideal assumption. In the real world, moving objects can greatly influence the precision of image matching and camera pose estimation. In order to solve these problems, the YPR-SLAM system is proposed. First of all, the system includes a…
Hongrui Peng, Ziyu Zhao, Liguan Wang, Hui Kong
SLAM (Simultaneous Localization and Mapping) based on 3D LiDAR (Laser Detection and Ranging) is an expanding field of research with numerous applications in the areas of autonomous driving, mobile robotics, and UAVs (Unmanned Aerial Vehicles). However, in most real-world scenarios, dynamic objects can negatively impact…
Basheer Al-Tawil, Thorsten Hempel, Ahmed Abdelrahman, Ayoub Al-Hamadi
'Ayoub Al-Hamadi'] Visual simultaneous localization and mapping (V-SLAM) plays a crucial role in the field of robotic systems, especially for interactive and collaborative mobile robots. The growing reliance on robotics has increased complexity in task execution in real-world applications. Consequently, several types…
Sepehr Laal, Paul Vasilyev, Sean Pearson, Mateo Aboy + 6 more
'Ioannis Ivrissimtzis' 'Sunčica Hadžidedić' 'Xingjie Wei' 'Lei Shi' 'Frederick W. B. Li'] We evaluated a new wearable technology that fuses inertial sensors and cameras for tracking human kinematics. These devices use on-board simultaneous localization and mapping (SLAM) algorithms to localize the camera within the…
Dan Zhao, Lu Zhang, Yang Yang
Both acute and chronic stress have significant impact on brain functions. The amygdala is essential in mediating stress responses, but how its transcriptomic dynamics change under stress remains elusive. To overcome the difficulties in detecting subtle stress-induced changes by evaluating total RNA using classic RNA…
Mia-Katrin Kvalsund, Kai Olav Ellefsen, Kyrre Glette, Sidney Pontes-Filho + 1 more
The brain’s distributed architecture has inspired numerous artificial intelligence (AI) systems, particularly through its neocortical organization. However, current AI approaches largely over-look a crucial aspect of biological intelligence: active sensing – the deliberate movement of sensory organs to explore the…
Osman Kaan Karagoz, Aysegul Kilic, Emin Yusuf Aydin, Mustafa Mert Ankarali + 1 more
Animals use active sensing movements to shape the spatiotemporal characteristics of sensory signals to better perceive their environment under varying conditions. However, the underlying mechanisms governing the generation of active sensing movements are not known. To address this, we investigated the role of active…
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras + 3 more
By combining machine learning with design of experiments, so-called active machine learning, more efficient and cheaper research can be conducted. Machine learning algorithms are more flexible, and are better at investigating the processes spanning all length scales of chemical engineering. While the active machine…
Zhao Jingwen, Dorian Verdel, Ying Tan, Etienne Burdet
In daily activities, humans rely on visual information to plan hand movements, making the extraction of task-relevant information through eye gaze a key aspect of motor control. Behavioral studies have revealed characteristic saccade-pursuit patterns, likely governed by shared neural circuits, which enable an efficient…