Diplomandenseminar

 -  13:00 Uhr
Zwischenbericht

Evaluation of metrics for human-like grips

von: Florian Seidler  (Universität Bremen)
To evaluate grasping metrics for human grasping, the poses of a human hand and an object grasped by the hand are detected. For this purpose, single view RGB images are processed. The poses as well as translations are estimated from images without depth information. For this purpose, a neural networ…
 -  13:30 Uhr
Exposé

Real-time Dynamic Gesture Recognition for Human-Robot Collaboration

von: Shefali Dewangan  (Universität Bremen)
The primary goal of the thesis is to enhance human-robot collaboration by addressing the challenge of real-time dynamic gesture recognition. This initiative is a significant part of the ROMATRIS project, funded by THW at the DFKI, and the focus of the thesis is on the identification and real-ti…
 -  13:00 Uhr
Exposé

Outdoor navigation in uneven terrain using learning methods

von: Malika Helapita  (Hochschule Bonn-Rhein-Sieg (HBRS))
The challenge of robot navigation in uneven outdoor environments is demanding but important application for outdoor mobile robots. Classical geometric approaches have been employed to solve this problem but with limited success. When the terrain becomes exceedingly irregular or if there are tall gra…
 -  13:00 Uhr
Kolloquium

Battery Simulation for the Robotic Exploration of Lunar Lava Tubes.

von: Rutendo Mutambara  (Constructor University)
Robotic systems need energy for general navigation and control of sensors and actuators, therefore it is important to monitor the system’s energy level for optimum performance. In addition, it is desirable to have the possibility of estimating the energy consumed by certain robotic operations given …
 -  13:00 Uhr
Exposé

Enhancing Human-Robot Dialogue with Visual Voice Activity Detection

von: Arunima Gopi Krishna  (M.Sc.)
This research proposal addresses the pressing need for efficient human-robot communication channels in the context of visual interactions. The motivation behind this work is the growing significance of human-robot interaction and its potential to revolutionize various aspects of daily life. Although…
 -  13:30 Uhr
Exposé

Control Strategies for a Rimless Wheel Micro-Rover

von: Dennis Schlee  (TU Darmstadt)
Rimless wheeled robots are a hybrid variant of traditionally wheeled and legged robots. These hybrid systems combine the benefits of both approaches, such as efficient power demands and good terrain traversability. However, the simplicity of the design of the rimless wheel has the disadvantage of li…
 -  13:00 Uhr
Zwischenbericht

Kinetostatic Analysis of a 6-RUS Parallel Continuum Robot

von: Vinayvivian Pedrick Rodrigues  (RWTH Aachen)
Continuum manipulators have historically been considered serial devices, perhaps because theytypically have a long slender form, and the dominant geometric modeling paradigm is constant curvature arc segments tangentially connected in series. However, as some researchers have noted, many continuum d…
 -  14:00 Uhr
Kolloquium

Control of Dynamic Parkour Motions for a hopping leg on a Broomstick

von: Maximilian Albracht  (FH Aachen)
As legged locomotion in nature is very dynamic and rich, this elegant art of motion should also be exploited by robots to enable efficient and unrestricted locomotion even on difficult terrain. To attain animal-like dynamic motions for underactuated robots, careful consideration and exploitation of …
 -  13:30 Uhr
Zwischenbericht

Reinforcement Learning-based Control for Swing-up and Stabilization of an Underactuated Double Pendulum System

von: Chi Zhang  (Technische Universität München)
The challenge of controlling nonlinear systems has sparked significant interest within the research community. In particular, reinforcement learning-based control methods present promising advantages for addressing nonlinear control challenges, including reduced reliance on detailed system models an…
 -  13:00 Uhr
Exposé

Learning State Transition Functions of a Hydraulic Excavator using Data Driven Deep Learning

von: Jayanth Somashekaraiah  (Universität Bremen)
In this thesis, a neural network model is trained to learn the state transition function of a hydraulic excavator arm or a crane using data driven approach. The excavator arm or crane exhibits highly non linear behaviour due to hydraulic coupling between its actuators, non linearities in valves, par…
© DFKI GmbH
zuletzt geändert am 31.03.2023
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