Cognitive mapping and planning for visual navigation
We introduce a neural architecture for navigation in novel environments. Our proposed
architecture learns to map from first-person views and plans a sequence of actions towards …
architecture learns to map from first-person views and plans a sequence of actions towards …
Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation
Learning to solve precision-based manipulation tasks from visual feedback using
Reinforcement Learning (RL) could drastically reduce the engineering efforts required by …
Reinforcement Learning (RL) could drastically reduce the engineering efforts required by …
Reinforcement learning and model predictive control for robust embedded quadrotor guidance and control
C Greatwood, AG Richards - Autonomous Robots, 2019 - Springer
A new method for enabling a quadrotor micro air vehicle (MAV) to navigate unknown
environments using reinforcement learning (RL) and model predictive control (MPC) is …
environments using reinforcement learning (RL) and model predictive control (MPC) is …
Flyar: Augmented reality supported micro aerial vehicle navigation
S Zollmann, C Hoppe, T Langlotz… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Micro aerial vehicles equipped with high-resolution cameras can be used to create aerial
reconstructions of an area of interest. In that context automatic flight path planning and …
reconstructions of an area of interest. In that context automatic flight path planning and …
Evpropnet: Detecting drones by finding propellers for mid-air landing and following
The rapid rise of accessibility of unmanned aerial vehicles or drones pose a threat to
general security and confidentiality. Most of the commercially available or custom-built …
general security and confidentiality. Most of the commercially available or custom-built …
Deepfly: Towards complete autonomous navigation of mavs with monocular camera
Recently, the interest in Micro Aerial Vehicles (MAVs) and their autonomous flights has
increased tremendously and significant advances have been made. The monocular camera …
increased tremendously and significant advances have been made. The monocular camera …
Learning autonomous exploration and mapping with semantic vision
X Zhi, X He, S Schwertfeger - … of the 2019 International Conference on …, 2019 - dl.acm.org
We address the problem of autonomous exploration and mapping for a mobile robot using
visual inputs. Exploration and mapping is a well-known and key problem in robotics, the …
visual inputs. Exploration and mapping is a well-known and key problem in robotics, the …
Risk-sensitive motion planning for mavs based on mission-related fault-tolerant analysis
Sažetak Multirotor Aerial Vehicles may be fault-tolerant by design when rotor-failure is
possible to measure or identify, especially when a large number of rotors are used. For …
possible to measure or identify, especially when a large number of rotors are used. For …
[图书][B] Some results on closed-loop identification of quadcopters
D Ho - 2018 - books.google.com
In recent years, the quadcopter has become a popular platform both in research activities
and in industrial development. Its success is due to its increased performance and …
and in industrial development. Its success is due to its increased performance and …
Learning-based monocular vision obstacle detection and avoidance for UAV navigation in urban airspace
Y Zhang - 2023 - dr.ntu.edu.sg
Unmanned aerial vehicles (UAVs), also known as drones, have gained considerable
interest among academics in recent years, which significantly increases the demand for …
interest among academics in recent years, which significantly increases the demand for …