Robot Differential Drive Navigation Through Probabilistic Roadmap and Pure Pursuit by Maram Ali, Saptarshi Das, Stuart Townley

“…Key contributions include a comprehensive framework for robot navigation that offers enhanced adaptability and robust path planning. …”
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Disparity Map Generation from Illumination Variant Stereo Images Using Efficient Hierarchical Dynamic Programming by Viral H. Borisagar, Mukesh A. Zaveri

“…This algorithm can be helpful in applications like robot navigation, extraction of information from aerial surveys, 3D scene reconstruction, and military and security applications. …”
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Development of a Guidance System for an Agricultural Wheeled Robotic Platform in Row Crop Fields by Hossein Behfar, Fahime Hashemi, Arezu Nobakht

“…An agricultural robotic platform was designed and developed for row crop fields. The robot navigation system comprises two main components: a vision-based row detection system for path tracking and a motion controller system. …”
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On the Metric Dimension of Generalized Tensor Product of Interval with Paths and Cycles by Song Li, Jia-Bao Liu, Mobeen Munir

“…The concept of minimum resolving set for a connected graph has played a vital role in Robotic navigation, networking, and in computer sciences. …”
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Fast Transfer Navigation for Autonomous Robots by Chen Wang, Xudong Li, Xiaolin Tao, Kai Ling, Quhui Liu, Gan Tao

“…Generally, the varieties of the interior environment contribute to the difficulty of robotic navigation and hurt their performance. This paper proposes a transfer navigation algorithm and improves its generalization by leveraging deep reinforcement learning and a self-attention module. …”
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A guided approach for cross-view geolocalization estimation with land cover semantic segmentation by Nathan A.Z. Xavier, Elcio H. Shiguemori, Marcos R.O.A. Maximo, Mubarak Shah

“…In particular, cross-view geolocalization utilizes images from various perspectives, such as satellite and ground-level images, which are relevant for applications like robotics navigation and autonomous navigation. In this research, we propose a methodology that integrates cross-view geolocalization estimation with a land cover semantic segmentation map. …”
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Fault-Tolerant Partition Resolvability of Cyclic Networks by Kamran Azhar, Sohail Zafar, Agha Kashif, Michael Onyango Ojiema

“…Figuring resolving partition of the graph is an intriguing inquest in graph theory as it has many applications such as sensor design, compound classification in chemistry, robotic navigation, and Internet network. The partition dimension is a graph parameter akin to the concept of metric dimension, and fault-tolerant partition dimension is an advancement in the line of research of partition dimension of the graph. …”
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Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation by Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos

“…Sensor fusion is a major field in autonomous mobile robots navigation research. These methods integrate information obtained from accelerometers, rate gyros and monocular cameras to provide pose and orientation of the robot, which are known in the literature as Visual-Inertial Simultaneous Localization and Mapping systems. …”
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Terrain Traversability via Sensed Data for Robots Operating Inside Heterogeneous, Highly Unstructured Spaces by Amir Gholami, Alejandro Ramirez-Serrano

“…This paper contributes to the advancement of robotic navigation and path-planning systems by providing a scalable and efficient framework for environment analysis. …”
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Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview by Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, Juan P. Dominguez‐Morales, Gabriel Jimenez‐Moreno

“…This model is applied to robotic navigation to learn and recall trajectories that lead to a goal position within a known grid environment. …”
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IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution by Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio

“…Accurate depth estimation is crucial for many fields, including robotics, navigation, and medical imaging. However, conventional depth sensors often produce low-resolution (LR) depth maps, making detailed scene perception challenging. …”
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Effects of intermittent theta burst stimulation on cognitive and swallowing function in patients with MCI and dysphagia risk: a randomized controlled trial by Jie Wang, Mengqing Zhang, Xiaomei Wei, Cheng Yang, Meng Dai, Zulin Dou, Yonghui Wang

“…Participants received 10 sessions of daily robotic navigated iTBS. Results The MoCA score and the SCWT duration of the real group improved significantly compared with that of the sham group. …”
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