Developing Reasoning Robots for Today and Tomorrow

Rita Boland

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Developing Reasoning Robots for Today and Tomorrow

机译：为今天和明天开发推理机器人

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Military artificial intelligence programs are making humans, not systems, the focus of their development efforts as they study methods to make tools easierrnto use. Programs are being focused on using artificial intelligence to free people for the most important tasks and incorporating automation to save lives.rnPrograms are underway to deliver near- and long-term solutions to the troops, and forecasters expect projects in several fields, including intelligence, to experience an increase in products and funding in the next several years.

机译：军事人工智能程序使人类而不是系统成为其开发工作的重点，因为他们研究了使工具更易于使用的方法。计划的重点是利用人工智能释放人员的重任，并结合自动化以挽救生命。rn计划正在为部队提供近期和长期的解决方案，并且预报员希望在多个领域开展项目，包括情报，在接下来的几年中，产品和资金的增加。

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《Signal》 |2007年第6期|43-46|共4页
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Rita Boland;
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专利

1. Developing Reasoning Robots for Today and Tomorrow [J] . Rita Boland Signal . 2007,第6期

机译：为今天和明天开发推理机器人
2. Reasoning, robots, and navigation: Dual roles for deductive and abductive reasoning [J] . Janet Wiles Behavioral and Brain Sciences . 2011,第2期

机译：推理，机器人和导航：演绎推理和演绎推理的双重角色
3. Assessment of the Versius surgical robotic system for dual-field synchronous transanal total mesorectal excision (taTME) in a preclinical model: will tomorrow's surgical robots promise newfound options? [J] . Atallah S., Parra-Davila E., Melani A. G. F. Techniques in coloproctology . 2019,第5期

机译：在临床前模型中评估双场同步大规模介质切除（TATME）的典范外科机器人系统：明天的外科机器人将承诺新发现选择吗？
4. Robotic service concepts for the port of tomorrow: Developed via a small-scale demonstration testbed [C] . Vincent E. Schneider, Cosmin Delea, Johannes Oeffner, European Navigation Conference . 2020

机译：明天港口的机器人服务概念：通过一台小规模演示开发
5. Imagine all the robots: Developing a critical practice of cultural and disciplinary traversals in social robotics [D] . Sabanovic, Selma 2007

机译：想象所有机器人：在社交机器人中发展文化和学科遍历的批判性实践
6. Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments—A Case Study [O] . Jaime Zabalza, Zixiang Fei, Cuebong Wong, 2019

机译：在动态环境中启用具有交互式人机交互功能的工业机器人的智能传感和自适应推理—案例研究
7. Development of a Bio-inspired Vision System for Mobile Micro-robots:In this paper, we present a new bio-inspired vision system for mobile micro-robots. The processing method takes inspiration from vision of locusts in detecting the fast approaching objects. Research suggested that locusts use wide-field visual neuron called the lobula giant movement detector to respond to imminent collisions. We employed the locusts' vision mechanism to motion control of a mobile robot. The selected image processing method is implemented on a developed extension module using a low-cost and fast ARM processor. The vision module is placed on top of a micro-robot to control its trajectory and to avoid obstacles. The observed results from several performed experiments demonstrated that the developed extension module and the inspired vision system are feasible to employ as a vision module for obstacle avoidance and motion control. [O] . Hu, Cheng, Arvin, Farshad, Yue, Shigang 2014

机译：开发用于移动微型机器人的生物启发视觉系统：在本文中，我们提出了一种用于移动微型机器人的新型生物启发视觉系统。该处理方法从检测快速接近物体的蝗虫视觉中获取灵感。研究表明，蝗虫使用称为小叶巨型运动探测器的宽视野神经元来应对即将发生的碰撞。我们采用蝗虫的视觉机制来控制移动机器人。所选择的图像处理方法使用低成本且快速的aRm处理器在开发的扩展模块上实现。视觉模块放置在微型机器人的顶部以控制其轨迹并避开障碍物。几次进行的实验观察到的结果表明，开发的扩展模块和灵感视觉系统可用作避障和运动控制的视觉模块。

Developing Reasoning Robots for Today and Tomorrow

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