机器人学科创意征集-追求机器人研究之未来-Robotics call for proposals-翻译

关于此文（call for proposals，CFP）About this CFP

亚马逊正在许多应用领域中推进机器人技术。Amazon Robotics设计，编码，构建和制造改变游戏规则的软件应用程序，控制系统，机器人技术和相关硬件，这正在改变Amazon在全球范围内的运营方式。AWS RoboMaker为机器人开发人员提供最完整的云解决方案，以大规模模拟，测试和安全部署机器人应用程序。

Amazon is advancing the robotics technology in many application areas. Amazon Robotics designs, codes, builds, and manufactures game-changing software applications, control systems, robotics and related hardware that is revolutionizing Amazon's operations across the globe. AWS RoboMaker provides the most complete cloud solution for robotic developers to simulate, test and securely deploy robotic applications at scale.

我们欢迎以下与机器人相关的研究主题中的建议：

• 人机交互（HRI），包括人机交互和协作，从人的偏好中学习，情感和社会交互以及网络物理系统；
• 自主导航和机动性，包括现场机器人，SLAM，长期自动化，轨迹规划，自主校准以及地面和空中应用的方法；
• 操纵，包括抓握，灵巧操纵，抓爪设计，运动和抓握计划，触觉感应，操纵学习，组装以及多步任务计划；
• 多机器人系统，包括多智能体寻路，任务分配，计划和调度以及分布式算法；
• 机器人技术的计算机视觉，包括机器人技术的语义场景理解，目标检测，姿态估计，目标跟踪和多模式传感；
• 机器人技术的强化学习，包括高效样本的RL，深度RL，多机器人RL和分层RL；
• 模拟，包括从模拟到真实的传输，从模拟到真实的数字孪生创建，可变形对象的模拟，高保真度模拟，基于深度学习的模拟引擎，自主导航的模拟，传感器模拟器和水下模拟；
• 通信和传感系统，包括无线网络，定位，接近度检测和低功耗设备；
• 理论上的进步以及实际应用。

We welcome proposals in these research topics related to robotics:

• Human-Robot Interaction (HRI), including human machine interaction and collaboration, learning from human preferences, affective and social interactions, and cyber-physical systems;
• Autonomous navigation and mobility, including field robotics, SLAM, long-term autonomy, trajectory planning, autonomous calibration, and methods for ground and aerial applications;
• Manipulation, including grasping, dexterous manipulation, gripper design, motion and grasp planning, tactile sensing, manipulation learning, assembly, and multi-step task planning;
• Multi-robot systems, including multi-agent pathfinding, task assignment, planning and scheduling, and distributed algorithms;
• Computer Vision for Robotics, including semantic scene understanding for robotics, object detection, pose estimation, object tracking, and multi-modal sensing;
• Reinforcement Learning for robotics, including sample-efficient RL, deep RL, multi-robot RL, and hierarchical RL;
• Simulation, including sim-to-real transfer, real-to-sim digital twin creation, simulation of deformable objects, high fidelity simulations, deep learning-based simulation engines, simulation for autonomous navigation, sensor simulators, and underwater simulation;
• Communication and sensing systems, including wireless networks, localization, proximity detection, and low power devices;
• Theoretical advances as well as practical applications.

时间线 Timeline

提交时间：8/17/2020-10/11/2020
奖项公布：决定信将在提交截止日期后约三个月发送。

Submission period: 8/17/2020 - 10/11/2020
Awards announcement: Decision letters will be sent out approximately three months after the submission deadline.

附加信息 Additional Information

有关Robotics CFP的完整详细信息即将发布。请查看更新。

Full details about the Robotics CFP will be available soon. Please check back for updates.