Tsige Tadesse Alemayoh
Orcid: 0000-0001-7545-0004
According to our database1,
Tsige Tadesse Alemayoh authored at least 13 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Proceedings of the IEEE/SICE International Symposium on System Integration, 2026
Proceedings of the IEEE/SICE International Symposium on System Integration, 2026
2025
Adaptive Cost-Map-based Path Planning in Partially Unknown Environments with Movable Obstacles.
CoRR, October, 2025
Semantic Enrichment of CAD-Based Industrial Environments via Scene Graphs for Simulation and Reasoning.
Proceedings of the IEEE International Symposium on Safety Security Rescue Robotics, 2025
Adaptive Costmap-based Path Planning in Partially Known Environments with Movable Obstacles.
Proceedings of the IEEE International Conference on Advanced Robotics, 2025
2023
A Deep Learning Approach for Biped Robot Locomotion Interface Using a Single Inertial Sensor.
Sensors, December, 2023
Leg Joint Angle Estimation From a Single Inertial Sensor During Variety of Walking Motions: A Deep Learning Approach.
IEEE Access, 2023
2022
Deep-Learning-Based Character Recognition from Handwriting Motion Data Captured Using IMU and Force Sensors.
Sensors, 2022
Feedforward operational stiffness modulation and external force estimation of planar robots equipped with variable stiffness actuators.
Intell. Serv. Robotics, 2022
LocoESIS: Deep-Learning-Based Leg-Joint Angle Estimation from a Single Pelvis Inertial Sensor.
Proceedings of the 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022
2021
New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition.
Sensors, 2021
2020
A New Motion Data Structuring for Human Activity Recognition Using Convolutional Neural Network.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
2019
Deep Learning Based Real-time Daily Human Activity Recognition and Its Implementation in a Smartphone.
Proceedings of the 16th International Conference on Ubiquitous Robots, 2019