Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks

B Yang, Y Lu, R Wan, H Hu, C Yang, R Ni - Expert Systems with …, 2024 - Elsevier
Recent research on pedestrian trajectory prediction based on deep learning has made
significant progress. However, the previous methods do not deeply explore the relationship …

Cooperative path planning study of distributed multi-mobile robots based on optimised ACO algorithm

Z Cai, J Liu, L Xu, J Wang - Robotics and Autonomous Systems, 2024 - Elsevier
The rapid development of robotics technology has driven the growth of robot types and the
development of related technologies. As an important aspect of robot research, path …

Versatile Navigation under Partial Observability via Value-guided Diffusion Policy

G Zhang, H Tang, Y Yan - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Route planning for navigation under partial observability plays a crucial role in modern
robotics and autonomous driving. Existing route planning approaches can be categorized …

Robotic organism targets regional coverage capture path planning for marine aquafarm based on value iteration network

H Huang, Y Sun, Z Zhang, B Jin, Z Wang, H Qin… - Ocean …, 2023 - Elsevier
The application of robots in the field of Marine aquatic organisms capture can greatly
improve the fishing efficiency and economy of seafood. The purpose for path planning of …

Towards real-world navigation with deep differentiable planners

S Ishida, JF Henriques - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
We train embodied neural networks to plan and navigate unseen complex 3D environments,
emphasising real-world deployment. Rather than requiring prior knowledge of the agent or …

Spatial Reasoning and Planning for Deep Embodied Agents

S Ishida - arXiv preprint arXiv:2409.19479, 2024 - arxiv.org
Humans can perform complex tasks with long-term objectives by planning, reasoning, and
forecasting outcomes of actions. For embodied agents to achieve similar capabilities, they …

Construction of an Intelligent Robot Path Recognition System Supported by Deep Learning Network Algorithms

J Chen - International Journal of Advanced Computer Science …, 2023 - search.proquest.com
In recent years, intelligent robots have been widely used in fields such as express
transportation, industrial automation, and healthcare, bringing great convenience to people's …

Improved RRT* Algorithm Combined with an Adaptive Probability-Adjusted Goal-Directed Node Strategy

F Liu, D Wang, T Zhao, YY Zhou - 2023 5th International …, 2023 - ieeexplore.ieee.org
The basic operation of the autonomous mobile robot is the grasping action of the
mechanical arm arm. The premise of grasping is the identification of targets, and the key …

Sim-to-Real Hierarchical Planning and Control System for Six-Legged Robot

Y Gao, Y Fu, M Sun - CAAI International Conference on Artificial …, 2022 - Springer
Legged robots have attracted much attention both from industry and academia. Despite the
recent progresses in robotics, planning and control in complex environments are still great …

Research on automatic path planning for obstacle avoidance of intelligent substation patrol robot

D Lu, X Ning, L Li - International Conference on Automation …, 2023 - spiedigitallibrary.org
Most of the current automatic planning and execution codes for the obstacle avoidance path
of the patrol robot in the substation are single structure, and the planning scope is limited …