[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zardini et al., 2021 - Google Patents

Co-design of embodied intelligence: A structured approach

Zardini et al., 2021

View PDF
Document ID
12307765154145019333
Author
Zardini G
Milojevic D
Censi A
Frazzoli E
Publication year
Publication venue
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

External Links

Snippet

We consider the problem of co-designing embodied intelligence as a whole in a structured way, from hardware components such as propulsion systems and sensors to software modules such as control and perception pipelines. We propose a principled approach to …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Zardini et al. Co-design of embodied intelligence: A structured approach
Francis et al. Long-range indoor navigation with PRM-RL
Fridovich-Keil et al. Efficient iterative linear-quadratic approximations for nonlinear multi-player general-sum differential games
Kress-Gazit et al. Synthesis for robots: Guarantees and feedback for robot behavior
Plaku et al. Motion planning with temporal-logic specifications: Progress and challenges
Wongpiromsarn et al. Synthesis of control protocols for autonomous systems
Luo et al. Temporal logic task allocation in heterogeneous multirobot systems
Mehdipour et al. Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challenges
Kloetzer et al. A Petri net based approach for multi-robot path planning
Artunedo et al. Motion planning approach considering localization uncertainty
Zardini et al. Co-design of autonomous systems: From hardware selection to control synthesis
Lyons et al. Performance verification for behavior-based robot missions
Petrović et al. Integration of process planning, scheduling, and mobile robot navigation based on TRIZ and multi-agent methodology
Zardini et al. Task-driven modular co-design of vehicle control systems
Warnke et al. Towards safe locomotion navigation in partially observable environments with uneven terrain
Löcklin et al. Trajectory prediction of workers to improve AGV and AMR operation based on the manufacturing schedule
Valavanis The entropy based approach to modeling and evaluating autonomy and intelligence of robotic systems
Gan et al. Multitask learning for scalable and dense multilayer bayesian map inference
Cai et al. Learning minimally-violating continuous control for infeasible linear temporal logic specifications
Garrido et al. Sensor-based global planning for mobile robot navigation
Dawson et al. Certifiable robot design optimization using differentiable programming
Tuncali Search-based test generation for automated driving systems: From perception to control logic
Maity et al. Motion planning in dynamic environments with bounded time temporal logic specifications
Diehl et al. On a connection between differential games, optimal control, and energy-based models for multi-agent interactions
Luis et al. Using pre-computed knowledge for goal allocation in multi-agent planning