Bnd*-ddqn: Learn to steer autonomously through deep reinforcement learning
It is vital for mobile robots to achieve safe autonomous steering in various changing
environments. In this paper, a novel end-to-end network architecture is proposed for mobile …
environments. In this paper, a novel end-to-end network architecture is proposed for mobile …
Integrated moment-based LGMD and deep reinforcement learning for UAV obstacle avoidance
In this paper, a bio-inspired monocular vision perception method combined with a learning-
based reaction local planner for obstacle avoidance of micro UAVs is presented. The system …
based reaction local planner for obstacle avoidance of micro UAVs is presented. The system …
Improved collision perception neuronal system model with adaptive inhibition mechanism and evolutionary learning
Accurate and timely perception of collision in highly variable environments is still a
challenging problem for artificial visual systems. As a source of inspiration, the lobula giant …
challenging problem for artificial visual systems. As a source of inspiration, the lobula giant …
Vision-based autonomous navigation approach for a tracked robot using deep reinforcement learning
Tracked robots need to achieve safe autonomous steering in various changing
environments. In this article, a novel end-to-end network architecture is proposed for tracked …
environments. In this article, a novel end-to-end network architecture is proposed for tracked …
Robustness of bio-inspired visual systems for collision prediction in critical robot traffic
Collision prevention sets a major research and development obstacle for intelligent robots
and vehicles. This paper investigates the robustness of two state-of-the-art neural network …
and vehicles. This paper investigates the robustness of two state-of-the-art neural network …
Towards locust-inspired gliding wing prototypes for micro aerial vehicle applications
H Isakhani, C Xiong, W Chen… - Royal Society Open …, 2021 - royalsocietypublishing.org
In aviation, gliding is the most economical mode of flight explicitly appreciated by natural
fliers. They achieve it by high-performance wing structures evolved over millions of years in …
fliers. They achieve it by high-performance wing structures evolved over millions of years in …
A Bioinspired Underactuated Dual Tendon-Based Adaptive Gripper for Space Applications
Hands are one of the most intricate elements of a humanoid due to their role as end-
effectors interacting with their non-linear surrounding environment. This paper aims to …
effectors interacting with their non-linear surrounding environment. This paper aims to …
Path Planning of Unmanned Autonomous Helicopter Based on Hybrid Satisficing Decision-Enhanced Swarm Intelligence Algorithm
Z Han, M Chen, S Shao, T Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the increasing complexity of the air combat environment, the optimal flights path is no
longer the only requirement for the path planning system of an unmanned autonomous …
longer the only requirement for the path planning system of an unmanned autonomous …
Aerodynamic analysis and optimization of gliding locust wing using Nash genetic algorithm
Natural fliers glide and minimize wing articulation to conserve energy for endured and long-
range flights. Elucidating the underlying physiology of such a capability could potentially …
range flights. Elucidating the underlying physiology of such a capability could potentially …
A bioinspired airfoil optimization technique using Nash genetic algorithm
H Isakhani, C Xiong, S Yue… - 2020 17th International …, 2020 - ieeexplore.ieee.org
Natural fliers glide and minimize wing articulation to conserve energy for endured and long
range flights. Elucidating the underlying physiology of such capability could potentially …
range flights. Elucidating the underlying physiology of such capability could potentially …