Bechlioulis et al., 2018 - Google Patents
Collaborative multi-robot transportation in obstacle-cluttered environments via implicit communicationBechlioulis et al., 2018
View HTML- Document ID
- 17796843236467321665
- Author
- Bechlioulis C
- Kyriakopoulos K
- Publication year
- Publication venue
- Frontiers in Robotics and AI
External Links
Snippet
This paper addresses the problem of cooperative object transportation in a constrained workspace involving static obstacles, with the coordination relying on implicit communication established via the commonly grasped object. In particular, we consider a decentralized …
- 238000004891 communication 0 title abstract description 33
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
- G05D1/0295—Fleet control by at least one leading vehicle of the fleet
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/39—Robotics, robotics to robotics hand
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bechlioulis et al. | Collaborative multi-robot transportation in obstacle-cluttered environments via implicit communication | |
| Avanzini et al. | Constrained model predictive control for mobile robotic manipulators | |
| Obregón-Flores et al. | Predefined-time robust hierarchical inverse dynamics on torque-controlled redundant manipulators | |
| Nguyen et al. | Adaptive neural network-based backstepping sliding mode control approach for dual-arm robots | |
| Verginis et al. | Timed abstractions for distributed cooperative manipulation | |
| Wu et al. | Optimal control of non-holonomic robotic systems based on type-3 fuzzy model | |
| Li et al. | A model predictive obstacle avoidance method based on dynamic motion primitives and a Kalman filter | |
| Heshmati-Alamdari et al. | Decentralized impedance control for cooperative manipulation of multiple underwater vehicle manipulator systems under lean communication | |
| Karray et al. | Adaptive tracking control of a mobile manipulator actuated by DC motors | |
| Brahmi et al. | Adaptive backstepping control of multi-mobile manipulators handling a rigid object in coordination | |
| Garcia et al. | Object-centered teleoperation of mobile manipulators with remote center of motion constraint | |
| Tugal et al. | Manipulation at optimum locations for maximum force transmission with mobile robots under environmental disturbances | |
| Manoharan et al. | Consensus based formation control of automated guided vehicles using dynamic destination approach | |
| Kanjanawanishkul | Motion control of a wheeled mobile robot using model predictive control: A survey | |
| Jung et al. | RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution | |
| Pandey et al. | Finite-Time Trajectory Tracking of a Four wheeled Mecanum Mobile Robot | |
| Sun et al. | An intelligent approach for a two-robot team to perform a cooperative task | |
| Low | Design, implementation, and experimental validation of a cascaded trajectory tracking controller for nonholonomic car-like wheeled mobile robots with velocity and steering controllers in the loops | |
| Zhang et al. | Behavioral formation control of multiple mecanum-wheeled mobile manipulators | |
| Wang et al. | Obstacle avoidance for robotic manipulator in joint space via improved proximal policy optimization | |
| Wrzos-Kaminska et al. | Collision Avoidance using Mixed H 2/H∞ Control for an Articulated Intervention-AUV | |
| Zhang et al. | Integrating Maneuverable Planning and Adaptive Control for Robot Cart-Pushing under Disturbances | |
| Wei et al. | Fuzzy sensor-based motion control among dynamic obstacles for intelligent rigid-link electrically driven arm manipulators | |
| Carvalho et al. | Model Predictive Control for B-Spline Trajectory Tracking in Omnidirectional Robots | |
| Arévalo et al. | Sliding mode formation control of mobile robots with input delays |