Results 141 to 150 of about 116,019 (342)
Heuristic and exact methods applied to a rich vehicle routing and scheduling problem. [PDF]
Michel Povlovitsch Seixas
openalex +1 more source
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
A hybrid adaptive large neighborhood search for time-dependent open electric vehicle routing problem with hybrid energy replenishment strategies. [PDF]
Fan L.
europepmc +1 more source
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
This study aims to solve a Vehicle Routing Problem with Time Windows and Speed Limits (VRPTWSL), which has received considerable attention in recent years.
Suphan Sodsoon +2 more
doaj
Multiobjective problem modeling of the capacitated vehicle routing problem with urgency in a pandemic period. [PDF]
Altinoz M, Altinoz OT.
europepmc +1 more source
An improved particle swarm algorithm for heterogeneous fleet vehicle routing problem with two-dimensional loading constraints [PDF]
Haifeng Sun +3 more
openalex +1 more source
Multimodal Locomotion of Soft Robots
This review comprehensively surveys recent advances in multimodal locomotion within soft robotics. Typical locomotion modes are summarized and categorized. Furthermore, the underlying mechanisms enabling multimodal locomotion are discussed and classified into three primary categories: active control‐based, reconfiguration‐based, and environment ...
Zihao Yuan +4 more
wiley +1 more source
A Time-Dependent Vehicle Routing Problem for Instant Delivery Based on Memetic Algorithm. [PDF]
Cui S, Sun Q, Zhang Q.
europepmc +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source

