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Found 19 papers, 6 papers with code
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene
Hardware that utilizes stereo vision perception, which has been demonstrated to be a more reliable way of estimating depth information than monocular vision, is partnered with the edge computing device Nvidia Jetson Xavier AGX.
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
Mastering autonomous drone landing on dynamic platforms presents formidable challenges due to unpredictable velocities and external disturbances caused by the wind, ground effect, turbines or propellers of the docking platform.
DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation
This paper introduces DogSurf - a newapproach of using quadruped robots to help visually impaired people navigate in real world.
LocoNeRF: A NeRF-based Approach for Local Structure from Motion for Precise Localization
Our proposed method achieves an accuracy of 0. 068 meters compared to the ground truth, which is slightly lower than the most advanced method COLMAP, which has an accuracy of 0. 022 meters.
POA: Passable Obstacles Aware Path-planning Algorithm for Navigation of a Two-wheeled Robot in Highly Cluttered Environments
This paper focuses on Passable Obstacles Aware (POA) planner - a novel navigation method for two-wheeled robots in a highly cluttered environment.
RL-Based Guidance in Outpatient Hysteroscopy Training: A Feasibility Study
This work presents an RL-based agent for outpatient hysteroscopy training.
Multi-sensor large-scale dataset for multi-view 3D reconstruction
We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks.
GraspLook: a VR-based Telemanipulation System with R-CNN-driven Augmentation of Virtual Environment
The teleoperation of robotic systems in medical applications requires stable and convenient visual feedback for the operator.
CNN-based Omnidirectional Object Detection for HermesBot Autonomous Delivery Robot with Preliminary Frame Classification
The obtained experimental results revealed that the proposed optimization accelerates the inference time of the neural network in the cases with up to 5 out of 6 cameras containing target objects.
DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
In the proposed study, we describe the possibility of automated dataset collection using an articulated robot.
Comparison of modern open-source visual SLAM approaches
The results of some of them are difficult to reproduce, and there is a lack of comparison on common datasets.
MobileCharger: an Autonomous Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging
MobileCharger is a novel mobile charging robot with an Inverted Delta actuator for safe and robust energy transfer between two mobile robots.
DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning
DeltaCharger is a novel charging robot with an Inverted Delta structure for 3D positioning of electrodes to achieve robust and safe transferring energy between two mobile robots.
Instance Semantic Segmentation Benefits from Generative Adversarial Networks
Rethinking reconstruction networks as a generator, we define the problem of predicting masks as a GANs game framework: A segmentation network generates the masks, and a discriminator network decides on the quality of the masks.
Hyper-spectral NIR and MIR data and optimal wavebands for detection of apple tree diseases
Plant diseases can lead to dramatic losses in yield and quality of food, becoming a problem of high priority for farmers.
SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms
We propose a novel system SwarmCloak for landing of a fleet of four flying robots on the human arms using light-sensitive landing pads with vibrotactile feedback.
Robotics
Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners
With the advancements of various autonomous car projects aiming to achieve SAE Level 5, real-time detection of traffic signs in real-life scenarios has become a highly relevant problem for the industry.
SwarmTouch: Guiding a Swarm of Micro-Quadrotors with Impedance Control using a Wearable Tactile Interface
To achieve a smooth and safe guiding of a drone formation by a human operator, we propose a novel interaction strategy for a human-swarm communication which combines impedance control and vibrotactile feedback.
Robotics
SwarmTouch: Tactile Interaction of Human with Impedance Controlled Swarm of Nano-Quadrotors
We propose a novel interaction strategy for a human-swarm communication when a human operator guides a formation of quadrotors with impedance control and receives vibrotactile feedback.
Robotics Human-Computer Interaction
