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Open research questions in Robotic Path Planning Algorithms

181 gap statements mined from Robotic Path Planning Algorithms papers in our 4.5M-paper local library, which holds 2,031 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • Future work will explore the use of reinforcement learning (RL) or fuzzy logic controllers to autonomously tune these hyperparameters in response to varying obstacle densities and map topologies. Future research will focus on deploying this framework onto physical robotic platforms and extending its logic to multi-robot collaborative path planning in heterogeneous dynamic environments.

    Self-Adaptive Ant Colony Optimization with Bidirectional Updating for Robot Path Planning · 2026 · DOI

  • Further research can focus on applying the proposed framework to other complex intelligent planning problems. The framework can be extended to handle more complex scenarios and larger problem sizes.

    Hierarchical hybrid Ising simulation solution method for multi-agent task allocation and collaborative path planning · 2026 · DOI

  • Traditional single-layer Ising/QUBO modeling has limitations in handling high-dimensional discrete decision spaces and strong constraint coupling. Prior work does not provide a comprehensive solution for complex intelligent planning problems.

    Hierarchical hybrid Ising simulation solution method for multi-agent task allocation and collaborative path planning · 2026 · DOI

  • Future research will focus on POMDP-based probabilistic state representation methods, as well as on more accurate simulation of physical environments, to enhance the applicability of this approach in diverse practical scenarios such as environmental monitoring and precision agriculture.

    CLMPO-EC: A Lightweight Multi-UAV Multiarea Coverage Path Planning Method Using Deep Reinforcement Learning · 2026 · DOI

  • Need for smooth and continuous joint angle, velocity, and acceleration trajectories.

    Time-optimal trajectory planning for robotic manipulators based on an improved pufferfish optimization algorithm · 2026 · DOI

  • Traditional navigation methods lack robustness and semantic rationality in dynamic environments. Reinforcement learning algorithms lack modeling of environmental semantic information.

    Adaptive Navigation for Robots Based on Object Relationship Reasoning and Reinforcement Learning · 2026 · DOI

  • The Q-RRT* algorithm optimizes the path through the FindReachest and CreatNode procedures and greatly reduces redundant points, but its path smoothness remains insufficient.

    Efficient Path Planning of Robotic Arms Based on the Improved Informed-RRT* Algorithm · 2026 · DOI

  • The paper suggests that future research can focus on improving the efficiency of the algorithm. The paper suggests that future research can explore the application of the approach to other domains.

    Bulk Search For Optimally Solving Two Variants Of Anonymous Multi-agent Pathfinding · 2026 · DOI

  • The preference profile of agents is not one-dimensional single-peaked. The social and maximum costs need to be optimized. The mechanism needs to be strategyproof.

    Mechanism Design for Connecting Regions Under Disruptions · 2026

  • Examining whether one can improve the gaps between the upper and lower bounds. Considering more general settings such as convex regions and multiple obstacles.

    Mechanism Design for Connecting Regions Under Disruptions · 2026

  • The gap is the lack of efficient and effective trajectory planning methods for cooperative aerial-ground handover missions. Prior work often uses hierarchical schemes that do not enforce system dynamics and constraints from the outset.

    Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions · 2026

  • Existing methods often lack the scalability and flexibility required for real-world Unmanned Traffic Management (UTM). The need for a framework that can handle temporal No-Fly Zones (NFZs) and heterogeneous vehicle profiles.

    Multi UAVs Preflight Planning in a Shared and Dynamic Airspace · 2026 · DOI

  • The study is limited to a simulation-based approach and does not test the controller in real-world environments. The study only considers a specific type of robot (nonholonomic wheeled mobile robot) and a specific type of environment (static, maze-like obstacle course).

    Factorial Design-Based Optimization of Fuzzy Logic Controller Parameters for Autonomous Robot Navigation in Static Environments · 2026 · DOI

  • Prior approaches to diffusion-based motion generation lacked a general and efficient way to condition them on scene structure.

    Warm-Starting Collision-Free Model Predictive Control With Object-Centric Diffusion · 2026 · DOI

  • The stochastic nature of actions generated by DRL policies can undermine performance consistency. Inefficient exploration frequently delays the learning process or prevents the discovery of optimal solutions.

    Robust Path Planning via Deep Reinforcement Learning · 2026 · DOI

  • The paper notes that existing approaches for AMAPF have a critical bottleneck in one part of the solving process.

    Bulk Search For Optimally Solving Two Variants Of Anonymous Multi-agent Pathfinding · 2026 · DOI

  • The method requires a domain knowledge graph covering core knowledge and prerequisite relationships. The method uses a fixed number of seed nodes (top 5 knowledge points ranked by semantic similarity). The method does not address the scalability of the approach.

    Dynamic teaching path generation for quadruped robot programming by integrating R-GCN and SBERT · 2026 · DOI

  • Exploring richer object-centric representations to further improve generalization. Developing an online variant that integrates diffusion directly within the MPC loop. Applying the framework to fully 3D settings and more complex robotic manipulation tasks.

    Warm-Starting Collision-Free Model Predictive Control With Object-Centric Diffusion · 2026 · DOI

  • Further evaluation of the proposed algorithm using different benchmark functions and robotic platforms. Investigation of the application of the algorithm to other optimization problems. Development of more advanced initialization strategies and adaptive parameter mechanisms.

    Time-optimal trajectory planning for robotic manipulators based on an improved pufferfish optimization algorithm · 2026 · DOI

  • Existing hybrid path planning algorithms suffer from low global search efficiency. Existing algorithms suffer from weak global-local planning coordination. Existing algorithms suffer from poor dynamic scene adaptability.

    An Adaptive Octile JPS and Fuzzy-DWA Fused Path Planning Algorithm for Indoor Home Environments · 2026 · DOI

  • Integrating the generalizable understanding and reasoning capabilities of large language models into the REACT architecture.

    REACT: Environment-Adaptive Architecture for Continuous Formation Navigation of Wheeled Mobile Robots · 2026

  • Investigating the scalability of the approach. Applying the method to other domains with complex knowledge relationships. Exploring the use of other semantic embedding methods.

    Dynamic teaching path generation for quadruped robot programming by integrating R-GCN and SBERT · 2026 · DOI

  • The proposed method is tested in a simulated environment - The experiments are conducted on a ROS-based mobile robot platform with limited…

    Research on a Fusion Path Planning Algorithm for Mobile Robots Based on Improved A* and DWA · 2026 · DOI

  • Further validation of the proposed method in more complex and dynamic environments - Investigation of the applicability of the proposed method to other types of autonomous…

    Research on a Fusion Path Planning Algorithm for Mobile Robots Based on Improved A* and DWA · 2026 · DOI

  • The inherent uncertainty and imprecision in sensor inputs - The complexity of path planning in static, unknown environments - The need to balance linguistic complexity, sensor integration depth…

    Factorial Design-Based Optimization of Fuzzy Logic Controller Parameters for Autonomous Robot Navigation in Static Environments · 2026 · DOI

Most-cited papers in Robotic Path Planning Algorithms

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Open questions raised by papers listed on this page include: (1) Future work will explore the use of reinforcement learning (RL) or fuzzy logic controllers to autonomously tune these hyperparameters in response to varying obstacle densities and map topologies (“Self-Adaptive Ant Colony Optimization with Bidirectional Updating for Robot…”, 2026); (2) The paper suggests that future research can focus on improving the efficiency of the algorithm (“Bulk Search For Optimally Solving Two Variants Of Anonymous Multi-agent…”, 2026); (3) The gap is the lack of efficient and effective trajectory planning methods for cooperative aerial-ground handover missions (“Learning-Accelerated Optimization-based Trajectory Planning for Cooperative…”, 2026). 181 gap statements have been mined from Robotic Path Planning Algorithms papers in our 4.5M-paper local library, which holds 2,031 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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