咨询与建议

限定检索结果

文献类型

  • 72 篇 期刊文献
  • 46 篇 会议

馆藏范围

  • 118 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 80 篇 工学
    • 58 篇 计算机科学与技术...
    • 56 篇 控制科学与工程
    • 56 篇 软件工程
    • 16 篇 生物工程
    • 13 篇 机械工程
    • 9 篇 生物医学工程(可授...
    • 8 篇 力学(可授工学、理...
    • 7 篇 仪器科学与技术
    • 6 篇 电气工程
    • 5 篇 化学工程与技术
    • 5 篇 交通运输工程
    • 4 篇 光学工程
    • 3 篇 信息与通信工程
    • 3 篇 建筑学
    • 3 篇 土木工程
    • 3 篇 安全科学与工程
    • 2 篇 材料科学与工程(可...
  • 46 篇 理学
    • 22 篇 数学
    • 15 篇 生物学
    • 14 篇 统计学(可授理学、...
    • 11 篇 物理学
    • 8 篇 系统科学
    • 6 篇 化学
  • 9 篇 管理学
    • 6 篇 管理科学与工程(可...
    • 3 篇 图书情报与档案管...
  • 6 篇 医学
    • 6 篇 基础医学(可授医学...
    • 6 篇 临床医学
    • 4 篇 药学(可授医学、理...
  • 4 篇 法学
    • 4 篇 社会学
  • 2 篇 教育学
    • 2 篇 教育学
  • 2 篇 农学

主题

  • 13 篇 motion planning
  • 8 篇 planning
  • 6 篇 trajectory
  • 5 篇 reinforcement le...
  • 5 篇 deep learning
  • 5 篇 robots
  • 4 篇 uncertainty
  • 4 篇 measurement
  • 3 篇 motion estimatio...
  • 3 篇 grasping
  • 3 篇 safety
  • 3 篇 optimization
  • 3 篇 robot sensing sy...
  • 2 篇 tools
  • 2 篇 conferences
  • 2 篇 programming
  • 2 篇 task analysis
  • 2 篇 three-dimensiona...
  • 2 篇 continuous time ...
  • 2 篇 buildings

机构

  • 23 篇 machine learning...
  • 8 篇 learning and int...
  • 7 篇 learning and int...
  • 7 篇 machine learning...
  • 6 篇 the learning sys...
  • 6 篇 max planck insti...
  • 5 篇 vector institute...
  • 4 篇 bosch center for...
  • 4 篇 technical univer...
  • 4 篇 the university o...
  • 4 篇 autonomous syste...
  • 4 篇 max planck insti...
  • 4 篇 the vector insti...
  • 4 篇 max planck insti...
  • 3 篇 abb corporate re...
  • 3 篇 university of ta...
  • 3 篇 max-planck insti...
  • 3 篇 max plank eth ce...
  • 3 篇 division of robo...
  • 2 篇 school of mathem...

作者

  • 27 篇 toussaint marc
  • 17 篇 schoellig angela...
  • 12 篇 mainprice jim
  • 12 篇 marc toussaint
  • 9 篇 zhou siqi
  • 7 篇 oguz ozgur s.
  • 7 篇 driess danny
  • 6 篇 angela p. schoel...
  • 6 篇 brunke lukas
  • 6 篇 kratzer philipp
  • 5 篇 siqi zhou
  • 5 篇 danny driess
  • 5 篇 hartmann valenti...
  • 4 篇 ozgur s. oguz
  • 4 篇 jim mainprice
  • 4 篇 schaal stefan
  • 4 篇 oh yoojin
  • 4 篇 bennewitz maren
  • 3 篇 pan sicong
  • 3 篇 heins adam

语言

  • 109 篇 英文
  • 8 篇 其他
  • 1 篇 中文
检索条件"机构=The Learning Systems and Robotics lab"
118 条 记 录,以下是21-30 订阅
排序:
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon
Multi-Step Model Predictive Safety Filters: Reducing Chatter...
收藏 引用
IEEE Conference on Decision and Control
作者: Federico Pizarro Bejarano Lukas Brunke Angela P. Schoellig the Learning Systems and Robotics Lab University of Toronto Robotics Institute and the Vector Institute for Artificial Intelligence Toronto Canada Technical University of Munich and the Munich Institute for Robotics and Machine Intelligence (MIRMI) Germany
learning-based controllers have demonstrated su-perior performance compared to classical controllers in various tasks. However, providing safety guarantees is not trivial. Safety, the satisfaction of state and input c...
来源: 评论
Force Push: Robust Single-Point Pushing with Force Feedback
arXiv
收藏 引用
arXiv 2024年
作者: Heins, Adam Schoellig, Angela P. The Learning Systems and Robotics Lab the Technical University of Munich Germany The University of Toronto Institute for Aerospace Studies Canada the Vector Institute for Artificial Intelligence Germany
We present a controller for quasistatic robotic planar pushing with single-point contact using only force feedback to sense the pushed object. We consider an omnidirectional mobile robot pushing an object (the "s... 详细信息
来源: 评论
Robust Nonprehensile Object Transportation with Uncertain Inertial Parameters
arXiv
收藏 引用
arXiv 2024年
作者: Heins, Adam Schoellig, Angela P. The Learning Systems and Robotics Lab The Technical University of Munich Germany The University of Toronto Institute for Aerospace Studies Canada The Vector Institute for Artificial Intelligence Germany
We consider the nonprehensile object transportation task known as the waiter’s problem—in which a robot must move an object balanced on a tray from one location to another—when the balanced object has uncertain ine... 详细信息
来源: 评论
Energy-Optimized Planning in Non-Uniform Wind Fields with Fixed-Wing Aerial Vehicles
arXiv
收藏 引用
arXiv 2024年
作者: Duan, Yufei Achermann, Florian Lim, Jaeyoung Siegwart, Roland Robotics Perception and Learning Lab KTH Royal Institude of Technology Stockholm114 28 Sweden Autonomous Systems Lab ETH Zürich Zürich8092 Switzerland
Fixed-wing small uncrewed aerial vehicles (sUAVs) possess the capability to remain airborne for extended durations and traverse vast distances. However, their operation is susceptible to wind conditions, particularly ... 详细信息
来源: 评论
Balanced resonate-and-fire neurons  24
Balanced resonate-and-fire neurons
收藏 引用
Proceedings of the 41st International Conference on Machine learning
作者: Saya Higuchi Sebastian Kairat Sander M. Bohté Sebastian Otte Adaptive AI Lab Institute of Robotics and Cognitive Systems University of Lübeck Germany Machine Learning Group Centrum Wiskunde & Informatica (CWI) Amsterdam The Netherlands
The resonate-and-fire (RF) neuron, introduced over two decades ago, is a simple, efficient, yet biologically plausible spiking neuron model, which can extract frequency patterns within the time domain due to its reson...
来源: 评论
ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time
arXiv
收藏 引用
arXiv 2022年
作者: Grothe, Francesco Hartmann, Valentin N. Orthey, Andreas Toussaint, Marc Learning and Intelligent Systems Group TU Berlin Germany Machine Learning & Robotics Lab University of Stuttgart Germany
We present a motion planner for planning through space-time with dynamic obstacles, velocity constraints, and unknown arrival time. Our algorithm, Space-Time RRT* (ST-RRT*), is a probabilistically complete, bidirectio... 详细信息
来源: 评论
AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space
AMSwarmX: Safe Swarm Coordination in CompleX Environments vi...
收藏 引用
IEEE International Conference on robotics and Automation (ICRA)
作者: Vivek K. Adajania Siqi Zhou Arun Kumar Singh Angela P. Schoellig Learning Systems and Robotics Lab University of Toronto Institute for Aerospace Studies Canada Technical University of Munich Germany Vector Institute for Artificial Intelligence University of Tartu Estonia
Quadrotor motion planning in complex environments leverage the concept of safe flight corridor (SFC) to facilitate static obstacle avoidance. Typically, SFCs are constructed through convex decomposition of the environ... 详细信息
来源: 评论
Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment
arXiv
收藏 引用
arXiv 2024年
作者: Mattamala, Matias Chebrolu, Nived Casseau, Benoit Freißmuth, Leonard Frey, Jonas Tuna, Turcan Hutter, Marco Fallon, Maurice Oxford Robotics Institute The University of Oxford United Kingdom Robotic Systems Lab ETH Zurich Switzerland Technical University of Munich Germany Autonomous Learning Group Max Planck Institute for Intelligent Systems Germany
We present a solution for autonomous forest inventory with a legged robotic platform. Compared to their wheeled and aerial counterparts, legged platforms offer an attractive balance of endurance and low soil impact fo... 详细信息
来源: 评论
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control systems
arXiv
收藏 引用
arXiv 2023年
作者: Brunke, Lukas Zhou, Siqi Che, Mingxuan Schoellig, Angela P. The Learning Systems and Robotics Lab The Technical University of Munich Germany Germany The University of Toronto Institute for Aerospace Studies The University of Toronto Robotics Institute The Vector Institute for Artificial Intelligence Canada
Providing safety guarantees for learning-based controllers is important for real-world applications. One approach to realizing safety for arbitrary control policies is safety filtering. If necessary, the filter modifi... 详细信息
来源: 评论
A Data-Driven Method for Estimating Formation Flexibility in Beyond-Visual-Range Air Combat
A Data-Driven Method for Estimating Formation Flexibility in...
收藏 引用
International Conference on Unmanned Aircraft systems (ICUAS)
作者: Edvards Scukins Andre N. Costa Petter Ögren Aeronautical Solutions Division SAAB Aeronautics Robotics Perception and Learning Lab. Royal Institute of Technology (KTH) Decision Support Systems Subdivision Institute for Advanced Studies (IEAv)
Tactical decisions in air combat are typically evaluated using experience as a basis. Pilots undergo frequent training in various air combat processes to enhance their combat proficiency and evaluation skills. Having ... 详细信息
来源: 评论