Simulation of Autonomous Mobile Robot System for Food Delivery in In-patient Ward with Unity

Vongbunyong, Supachai; Tripathi, Salil Parth; Thamrongaphichartkul, Kitti; Worrasittichai, Nitisak; Takutruea, Aphisit; Prayongrak, Teeraya

doi:10.1109/isai-nlp51646.2020.9376784

Cited by 11 publications

(2 citation statements)

References 7 publications

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“…Variables for the simulation used in this research are derived from the preliminary and existing studies [20][21][22][23][24][25][26][27][28][29][30]. Three main stakeholders or actors are identified from the riders' point of view, which they interact with during their operations.…”

Section: Case Studymentioning

confidence: 99%

Software Agent Simulation Design on the Efficiency of Food Delivery

Ismail,

Mostafa,

Baharum

et al. 2024

JOIV : Int. J. Inform. Visualization

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Food delivery services have gained popularity since the emergence of online food delivery. Since the recent pandemic, the demand for service has increased tremendously. Due to several factors that affect how much time additional riders spend on the road; food delivery companies have no control over the location or timing of the delivery riders. There is a need to study and understand the food delivery riders' efficiency to estimate the service system's capacity. The study can ensure that the capacity is sufficient based on the number of orders, which usually depends on the number of potential customers within a territory and the time each rider takes to deliver the orders successfully. This study is an opportunity to focus on the efficiency of the riders since there is not much work at the operational level of the food delivery structure. This study takes up the opportunity to design a software agent simulation on the efficiency of riders' operations in food service due to the lack of simulation to predict this perspective, which could be extended to efficiency prediction. The results presented in this paper are based on the system design phase using the Tropos methodology. At movement in the simulation, the graph of the efficiency is calculated. Upon crossing the threshold, it is considered that the rider agents have achieved the efficiency rate required for decision-making. The simulation's primary operations depend on frontline remotely mobile workers like food delivery riders. It can benefit relevant organizations in decision-making during strategic capacity planning.

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Section: Case Studymentioning

confidence: 99%

Software Agent Simulation Design on the Efficiency of Food Delivery

Ismail,

Mostafa,

Baharum

et al. 2024

JOIV : Int. J. Inform. Visualization

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“…Mobile robots have recently played a key role in the field of autonomous driving [ 1 , 2 , 3 , 4 , 5 ], and in application fields such as delivery and service operations in buildings, hospitals, and restaurants [ 6 , 7 , 8 ]. To fulfill these roles, three essential processes are required: perception of the surrounding environment, a decision-making process to generate a path to the destination, and a control process for the motion of the robot.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Driving of Mobile Robots in Dynamic Environments Based on Deep Deterministic Policy Gradient: Reward Shaping and Hindsight Experience Replay

Park,

Kwon

2024

Biomimetics

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In this paper, we propose a reinforcement learning-based end-to-end learning method for the autonomous driving of a mobile robot in a dynamic environment with obstacles. Applying two additional techniques for reinforcement learning simultaneously helps the mobile robot in finding an optimal policy to reach the destination without collisions. First, the multifunctional reward-shaping technique guides the agent toward the goal by utilizing information about the destination and obstacles. Next, employing the hindsight experience replay technique to address the experience imbalance caused by the sparse reward problem assists the agent in finding the optimal policy. We validated the proposed technique in both simulation and real-world environments. To assess the effectiveness of the proposed method, we compared experiments for five different cases.

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