Claes et al., 2018 - Google Patents
Multi robot collision avoidance in a shared workspaceClaes et al., 2018
View HTML- Document ID
- 354628778861327287
- Author
- Claes D
- Tuyls K
- Publication year
- Publication venue
- Autonomous Robots
External Links
Snippet
This paper presents a decentralised human-aware navigation algorithm for shared human– robot work-spaces based on the velocity obstacles paradigm. By extending our previous work on collision avoidance, we are able to include and avoid static and dynamic obstacles …
- 238000005070 sampling 0 abstract description 42
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
- G05D1/0287—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
- G05D1/0268—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
- G05D1/0255—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
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
-
- 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
- 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
-
- 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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2201/00—Application
- G05D2201/02—Control of position of land vehicles
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Claes et al. | Multi robot collision avoidance in a shared workspace | |
| Alonso-Mora et al. | Distributed multi-robot formation control in dynamic environments | |
| US9216745B2 (en) | Shared control of semi-autonomous vehicles including collision avoidance in multi-agent scenarios | |
| Sprunk et al. | An accurate and efficient navigation system for omnidirectional robots in industrial environments | |
| Sabiha et al. | Real-time path planning for autonomous vehicle based on teaching–learning-based optimization: AD Sabiha | |
| Şenbaşlar et al. | RLSS: real-time, decentralized, cooperative, networkless multi-robot trajectory planning using linear spatial separations | |
| Wang et al. | Improved A* algorithm and model predictive control-based path planning and tracking framework for hexapod robots | |
| Yuan et al. | Bio-inspired hybrid path planning for efficient and smooth robotic navigation: F. Yuan et al. | |
| Lu et al. | Global and local path planning of robots combining ACO and dynamic window algorithm | |
| Kivrak et al. | Waypoint based path planner for socially aware robot navigation | |
| Chu et al. | Motion planning for autonomous driving with real traffic data validation | |
| Sprunk | Planning motion trajectories for mobile robots using splines | |
| Chen et al. | Social crowd navigation of a mobile robot based on human trajectory prediction and hybrid sensing | |
| Kulathunga et al. | Resilient Timed Elastic Band Planner for Collision‐Free Navigation in Unknown Environments | |
| Bhargava et al. | An omnidirectional mecanum wheel automated guided vehicle control using hybrid modified A* algorithm | |
| Kakoty et al. | Mobile robot navigation in unknown dynamic environment inspired by human pedestrian behavior | |
| Xidias | A decision algorithm for motion planning of car-like robots in dynamic environments | |
| Adhikari et al. | Comprehensive approach to motion planning for self-driving vehicles: trajectory roll out, route planning, and safe maneuver execution | |
| Shen et al. | Targeted sampling dynamic window approach: a path-aware dynamic window approach sampling strategy for omni-directional robots | |
| Kuo et al. | Stable pushing in narrow passage environment using a modified hybrid A* algorithm | |
| Wu et al. | Time‐Optimal Trajectory Planning along Parametric Polynomial Lane‐Change Curves with Bounded Velocity and Acceleration: Simulations for a Unicycle Based on Numerical Integration | |
| Alonso-Mora | Collaborative motion planning for multi-agent systems | |
| Kashyap et al. | Modified type-2 fuzzy controller for intercollision avoidance of single and multi-humanoid robots in complex terrains | |
| Wang et al. | Real-time global path planning for mobile robots with a complex 3-D shape in large-scale 3-D environment | |
| Andaryan et al. | V*: An Efficient Motion Planning Algorithm for Autonomous Vehicles |