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A possible area of future research could be to examine the NWBLP model under more realistic conditions such as position estimation error and obstacle environment.
Taking for example two MAF algorithms; the first uses bounded, grid and obstacle-free environment and the second uses bounded, continuous and obstacle environment.
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A hierarchical approach for motion planning and control of nonlinear systems operating in obstacle environments is presented.
The paper presents an integrated approach for motion planning and control of nonlinear systems in obstacle environments.
In obstacle environments, the problem of coordination tracking control for a team of Euler Lagrange systems is investigated under modeling uncertainties, actuator faults and disturbances.
This paper presents a decentralized hybrid control scheme for the motion planning and coordination of teams of mobile agents in known obstacle environments with both convex and non-convex obstacles.
Owning to the similarity between bird flocks and UAV swarms in essence, a distributed flocking control algorithm based on the proposed pigeon flocking and coordinated obstacle-avoiding models is designed to coordinate a heterogeneous UAV swarm to fly though obstacle environments with few informed individuals.
When existing optimization algorithms of trajectory planning tackle the complex instances (obstacles environment), they have some notable drawbacks viz.: (1) they may fail to find the optimal path (or spend much time and memory storage to find one) and (2) they have limited capabilities when handling constraints.
First, dynamic obstacles, unknown environment, obstacles' shapes and collision avoidance should be studied.
Therefore, the issues of obstacle avoidance for high-speed USVs in complicated obstacles environments have to be studied.
Diffusive motion along microtubules may be valuable for movement of RNPs through an obstacle rich environment and could still contribute to asymmetric sorting as it is associated with long-term retention of complexes at microtubule minus ends.
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