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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Development of a Compact Collar-Mounted Feeder for Remote Dog Feeding.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

Data-Driven Dynamic Parameter Learning of manipulator robots.
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


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