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In this paper, a novel, dual-mode model predictive control framework is introduced that combines the dynamic window approach to navigation with reference tracking controllers. This adds a deliberative component to the obstacle avoidance…

系统与控制 · 计算机科学 2018-08-20 Greg Droge

Vision plays a crucial role in comprehending the world around us. More than 85% of the external information is obtained through the vision system. It influences our mobility, cognition, information access, and interaction with the…

计算机视觉与模式识别 · 计算机科学 2022-01-05 Ishwarya Sivakumar , Nishaali Meenakshisundaram , Ishwarya Ramesh , Shiloah Elizabeth D , Sunil Retmin Raj C

People with visual impairments often face significant challenges in locating and retrieving objects in their surroundings. Existing assistive technologies present a trade-off: systems that offer precise guidance typically require…

Navigating dynamic and unstructured environments poses significant challenges for autonomous robots, particularly due to the uncertainty introduced by occluded areas. Conventional sensing methods often fail to detect obstacles hidden behind…

机器人学 · 计算机科学 2024-12-31 Sithija Ranaraja

This paper proposes a navigation method considering blind spots based on the robot operating system (ROS) navigation stack and blind spots layer (BSL) for a wheeled mobile robot. In this paper, environmental information is recognized using…

机器人学 · 计算机科学 2024-05-10 Masato Kobayashi , Naoki Motoi

In recent decades, several assistive technologies have been developed to improve the ability of blind and visually impaired (BVI) individuals to navigate independently and safely. At the same time, simultaneous localization and mapping…

计算机视觉与模式识别 · 计算机科学 2025-02-18 Marziyeh Bamdad , Davide Scaramuzza , Alireza Darvishy

At present many blind assistive systems have been implemented but there is no such kind of good system to navigate a blind person and also to track the movement of a blind person and rescue him/her if he/she is lost. In this paper, we have…

人机交互 · 计算机科学 2016-12-04 Md. Siddiqur Rahman Tanveer , M. M. A. Hashem , Md. Kowsar Hossain

In ground-view object change detection, the recently emerging mapless navigation has great potential to navigate a robot to objects distantly detected (e.g., books, cups, clothes) and acquire high-resolution object images, to identify their…

机器人学 · 计算机科学 2023-10-25 Kouki Terashima , Kanji Tanaka , Ryogo Yamamoto , Jonathan Tay Yu Liang

People with blindness and low vision (pBLV) face challenges in navigating. Mobility aids are crucial for enhancing independence and safety. This paper presents an electronic travel aid that leverages a haptic-based, higher-order sensory…

Navigational challenges significantly impact the independence and mobility of Individuals with Visual Impairment (IVI). While numerous assistive technologies exist, their adoption remains limited due to usability challenges, financial…

人机交互 · 计算机科学 2025-04-10 Iman Soltani , Johnaton Schofield , Mehran Madani , Daniel Kish , Parisa Emami-Naeini

Indoor navigation aims at performing navigation within buildings. In scenes like home and factory, most intelligent mobile devices require an functionality of routing to guide itself precisely through indoor scenes to complete various tasks…

计算机视觉与模式识别 · 计算机科学 2018-08-28 He Huang , Yujing Shen , Jiankai Sun , Cewu Lu

Navigating autonomous robots through dense forests and rugged terrains is especially daunting when exteroceptive sensors -- such as cameras and LiDAR sensors -- fail under occlusions, low-light conditions, or sensor noise. We present…

机器人学 · 计算机科学 2025-03-11 Yanran Xu , Klaus-Peter Zauner , Danesh Tarapore

In this paper, we propose a modular navigation system that can be mounted on a regular powered wheelchair to assist disabled children and the elderly with autonomous mobility and shared-control features. The lack of independent mobility…

机器人学 · 计算机科学 2022-11-29 Vaishanth Ramaraj , Atharva Paralikar , Eung Joo Lee , Syed Muhammad Anwar , Reza Monfaredi

Current visual navigation systems often treat the environment as static, lacking the ability to adaptively interact with obstacles. This limitation leads to navigation failure when encountering unavoidable obstructions. In response, we…

机器人学 · 计算机科学 2024-08-13 Philipp Schoch , Fan Yang , Yuntao Ma , Stefan Leutenegger , Marco Hutter , Quentin Leboutet

Advancements in object detection algorithms have opened new avenues for assistive technologies that cater to the needs of visually impaired individuals. This paper presents a novel approach for indoor assistance to the blind by addressing…

计算机视觉与模式识别 · 计算机科学 2024-09-13 Rashmi BN , R. Guru , Anusuya M A

The popularity of mobile robots has been steadily growing, with these robots being increasingly utilized to execute tasks previously completed by human workers. For bipedal robots to see this same success, robust autonomous navigation…

机器人学 · 计算机科学 2022-10-10 Octavian A. Donca , Chayapol Beokhaimook , Ayonga Hereid

People navigating in unfamiliar buildings take advantage of myriad visual, spatial and semantic cues to efficiently achieve their navigation goals. Towards equipping computational agents with similar capabilities, we introduce Pathdreamer,…

计算机视觉与模式识别 · 计算机科学 2021-08-18 Jing Yu Koh , Honglak Lee , Yinfei Yang , Jason Baldridge , Peter Anderson

Group interactions are essential to social functioning, yet effective engagement relies on the ability to recognize and interpret visual cues, making such engagement a significant challenge for blind people. In this paper, we investigate…

Blind and low-vision (BLV) people rely on GPS-based systems for outdoor navigation. GPS's inaccuracy, however, causes them to veer off track, run into obstacles, and struggle to reach precise destinations. While prior work has made precise…

Outdoor shopping complexes (OSC) are extremely difficult for people with visual impairment to navigate. Existing GPS devices are mostly designed for roadside navigation and seldom transition well into an OSC-like setting. We report our…

计算机视觉与模式识别 · 计算机科学 2017-04-06 Archana Paladugu , Parag S. Chandakkar , Peng Zhang , Baoxin Li