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Path planning problems involve finding a feasible path from the starting point to the target point. In mobile robotics, path planning (PP) is one of the most researched subjects …
The path planning for unmanned mobile robots has always been a crucial issue, especially in unknown environments. Reinforcement learning widely used in path planning due …
The item storage assignment problem (ISAP) in a robotic mobile fulfillment system (RMFS) is addressed in the paper. Recently, most ISAP studies have concentrated on …
The integrated mobile robot with job-shop scheduling problem has been regarded as a combinatorial NP-hard problem and the count of feasible solutions grows exponentially as …
Energy harvesting technologies play a salient role in solving the energy challenges of robots. The renewable energies (such as solar, kinetic, and thermal energies) in the surrounding environments of a robot are free, ubiquitous, and sustainable ( Figure 1 ).
application research with the ability to help mobile robots solve the most fundamental problems of "localization" and "mapping". The visual semantic SLAM algorithm fused with semantic
This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy …
The item and pod storage assignment problems, two critical issues at the strategic level in robotic mobile fulfillment systems, have a strong correlation and should be …
Energy storage is a critical issue for any type of mobile robot (Fig. 1d). The capacity of the energy source determines the operational time, the distance it can travel and …
With the background of limited energy storage of robots and considering the high coupling problem of multi-agent path finding (MAPF), we propose a priority-free ant …
Developments in transmissions, series elastic elements, and energy storage and generation mechanisms should make it possible to equal muscle''s performance using traditional motors. Electric field–driven polymers …
Choose a provider that will improve workflow. Increasingly, Körber has found that prospective customers are interested not only in autonomous mobile robots, but also in finding …
Selecting suitable algorithms is crucial for mobile energy storage charging robots to get more accurate environment maps and achieve autonomous navigation, obstacle avoidance and …
These robots are enabled by novel actuation, sensing, energy storage, and conversion technologies. Across different scales and between different technologies, the key …
Although a robot may take myriad forms with dimensions spanning from nanometers to meters, the employed energy scheme is supported generally by one of the three pillar technologies or their combinations, that is, direct energy harvesting and conversion, electrochemical energy storage and conversion, and wireless energy transmission. [ 12]
The total energy efficiency of the robot is estimated to be around 0.48% from chemical fuel to mechanical work, highlighting the inherent advantages of high energy density …
Mobile robots play an important role in smart factories, though efficient task assignment and path planning for these robots still present challenges. In this paper, we …
Energy storage is a critical issue for any type of mobile robot (Fig. 1d). The capacity of the energy source determines the operational time, the distance it can travel and the work it can do. Materials science is at the core of developing safe, portable energy sources with higher power and energy densities.
In order to solve the problem of inefficient search of the sampling-based Rapidly Expanding Random Tree (RRT-Connect) path planning algorithm, an improved RRT-Connect mobile robot path planning ...
Download Citation | On Dec 1, 2022, Jun Zhang and others published Robots'' Picking efficiency and pickers'' energy expenditure: the item storage assignment policy in robotic mobile …
With the rapid development of robot technologies in recent years, autonomous mobile robots have been widely used in various fields such as academic, industrial and military …
The Simultaneous Localization and Mapping (SLAM) algorithm is a hotspot in robot application research with the ability to help mobile robots solve the most fundamental …
In order to solve the problem of inefficient search of the sampling-based Rapidly Expanding Random Tree (RRT-Connect) path planning algorithm, an improved RRT-Connect …
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