| 05.04. |
Preliminary Discussion and Planning |
| Speaker |
all |
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| 12.04. |
Robot Visuo-Tactile Multimodal and Crossmodal Learning |
| Speaker |
Dr. Shan Luo (King's College London) |
| Abstract |
Abstract: In our daily life, both vision and touch are indispensable sensing methods for us to interact with the surrounding environment,
and they two often assist each other to complete some tasks, such as grasping objects. Similarly, visual and tactile perception can also assist each other as the main channel for robots to understand the surrounding environment. Inspired by this, we developed a new type of touch sensor named GelTip, which is shaped like a human finger. It uses a vision camera at the bottom to capture the contact between the sensor surface elastomers and the contacting object, and extracts information about the contacting object based on the obtained tactile image. We have also designed a series of learning algorithms for extracting information from both visual and tactile images. Through the integration of vision and touch (both multi- and cross-modal), it can effectively improve the robot's object perception ability, so that the robot can effectively improve its capability of object recognition and localisation. Recently, we have also developed a simulation model of high-resolution tactile sensors that can be applied in the widely used ROS simulation environments and enables the Sim2Real learning with tactile sensing. Our research can be used to improve the dexterous manipulation of robots, suitable for warehouse robotics and automated assessments of new products in advanced manufacturing.
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| 19.04. |
Knowledge based of feature engineering and FPS project
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| Speaker |
Shang-Ching Liu |
| Slides | knowledge_graph_based_of_data_fusion_and_FPS_project.pdf 1.5MB pdf |
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| 26.04. |
Synthetic Aperture Radar Image Interpretation Based on Deep Learning |
| Speaker |
Di Zhang |
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| 03.05. |
Camera calibration using of control points / Synthetic depth dataset generation |
| Speaker |
Kaixin Bai |
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| 10.05. |
Elastic tactile sensor skin on double-curved surfaces for robots and wearables |
| Speaker |
Philipp Ruppel |
| Slides |
Slides 4.7MB pdf |
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| 17.05. |
Vision Transformer and Transformer-based Shape Completion in Grasping Evaluation |
| Speaker |
Wenkai Chen |
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| 24.05. |
Pentecost holiday |
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| 31.05. |
Reinforcement Learning Based Push and Grasp to Remove Hard-to-Grasp Objects |
| Speaker |
Hao Zhang / Aimen Shahid |
| Slides |
Slides 1.0 Mi pdf |
| Abstract |
Lorem ipsum
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| 07.06. |
Magic Magnetic Table: Spatial Adjustable Haptic Feedback for Virtual and Augmented Reality |
| Speaker |
Yannick Jonetzko |
| Slides |
Slides 46 Mb pdf |
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| 14.06. |
Capturing Pose Data for RoboCup Humanoid Soccer using AprilTags and YOLO |
| Speaker |
Florian Schleid |
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| 21.06. |
Lessons Learned In Robotics and Open Source Software / Applying MoveIt and ROS in Industry |
| Speaker |
Invited Talk: Dr. Dave Coleman (PickNik Robotics) |
| Bibliography |
Dr. Dave Coleman is CEO of PickNik Robotics. PickNik is accelerating
global robotics innovation through open software platforms for mobile
manipulation. Before co-founding PickNik, Dave worked at Google Robotics,
Open Robotics, and Willow Garage. Dave is an international advocate of open
source software, robotic interoperability, and new robotics standards. His
insights into robot-agnostic platforms for different morphologies,
different theoretical approaches, and different end-user technical
requirements give him a well-rounded understanding of the needs of powerful
robotic software.
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| 28.06. |
Bipedal Walking on Different Robots / Footstep Planning Using Reinforcement Learning for Humanoid Robots |
| Speaker |
Marc Bestmann
Jasper Güldenstein |
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| 05.07. |
tba |
| Speaker |
Yunlei Shi
Michael Görner (postponed after recent quarantine) |
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| 12.07. |
Boost Grasp-Pose-Selection Speed in Dynamic Environment |
| Speaker |
Jianzhi Lyu |
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