Demo Data from EDBT 2026 / reviewers in the wild / expert
Godwin Ponraj
dblp:213/0485 · also Godwin Ponraj Joseph Vedhagiri
· DBLP profile ↗
3ranked-venue papers
2as first author
2since 2021 · last 2021
0000-0002-3661-7702ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 1 since 2021Systems, architecture and hardware · 2 · 2 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Wearable and physiological sensing · 100% | |
| Artificial intelligence
1 paper |
Robot manipulation · 56% 3D vision · 44% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
wireless sensor |
0.5 | 1 | 2021 | Chip-Less Wireless Sensing of Kirigami Structural Morphing Under Various Mechanical Stimuli Using Home-Based Ink-Jet Printable Materials · ICRA 2021 |
Computer vision › 3D vision › object pose estimation
object orientation estimation |
0.3 | 1 | 2018 | Estimation of Object Orientation Using Conductive Ink and Fabric Based Multilayered Tactile Sensor · ICRA 2018 |
Robotics › Robot manipulation
tactile sensing |
0.3 | 1 | 2018 | Estimation of Object Orientation Using Conductive Ink and Fabric Based Multilayered Tactile Sensor · ICRA 2018 |
Image and video processing › printing
inkjet printing |
0.1 | 1 | 2021 | Chip-Less Wireless Sensing of Kirigami Structural Morphing Under Various Mechanical Stimuli Using Home-Based Ink-Jet Printable Materials · ICRA 2021 |
Robotics › Robot manipulation
grasping |
0.1 | 1 | 2018 | Estimation of Object Orientation Using Conductive Ink and Fabric Based Multilayered Tactile Sensor · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
kirigami design · 1.5inkjet printing · 1.5conductive fabric sensor · 0.7conductive ink sensors · 0.3conductive ink sensor · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Kirigami Strain Sensing on Balloon Catheters with Temporary Tattoo PaperabstractThe current state of the art of balloon catheters relies solely on the application of a predetermined quantity of mechanical strain to the balloon during diagnostic and therapeutic procedures. In some cases, the surgeons can use radioactive-contrasting agents and x-ray screening to identify the correct position and size of the inflated balloon. Otherwise, there is little information on the inflated size of the balloon catheter in the occluded lumen. This gap in quantitative feedback of the ballooning behavior needs to be addressed to ensure safe operation. With the advancement in technology and breakthrough in flexible electronics in recent years, kirigami, an ancient cutting, bending and folding technique, is explored in the stretchable sensing field due to its ability to transform 2D planar patterns 3D geometry structures. On top of that, kirigami can increase the mechanical strain by over 300% depending on the different cuts and folds and sensitivity over 80%. This manuscript will address this limitation of conventional balloon catheters by introducing strain sensing using kirigami technology to achieve a better, safer, and more efficient treatment procedure. Experimental results show that the change in normalized resistance of the sensor is directly proportional to the change in the size of the balloon. Bok Seng Yeow, Godwin Ponraj, Kirthika Senthil Kumar, Catherine Jiayi Cai, Hongliang Ren 0001 |
BSN | 3 |
| 2021 | Chip-Less Wireless Sensing of Kirigami Structural Morphing Under Various Mechanical Stimuli Using Home-Based Ink-Jet Printable MaterialsabstractThe feasibility of using chip-based RFID designs as wireless sensor tags open a wide range of application possibilities in the field of robotics. However, multi-step lithography manufacturing and/or MEMS techniques are often required for the industrial-grade fabrication of such sensors. In this paper, we present a simple, home-based, two-step fabrication process to produce chipless RF-based wireless sensors. We use an office-based inkjet printer to produce the antenna traces using silver conductive ink. Kirigami-inspired designs are used to produce four sensors responsive to various mechanical stimuli commonly used for DIY robotic projects (contact, compression, extension, and bend). We demonstrate sensing and wireless transmission of the detected mechanical stimuli through the proposed chipless sensor tags with reliable consistency. The tags can be replicated quickly with the inkjet-printing method. This paper also contains analyses on the effects of varying the dimensions and electrical parameters of the tags. The developed antennas in this work can be used as wireless mechano-responsive sensors for robotic applications. Godwin Ponraj, Wei Le Yeo, Kirthika Senthil Kumar, Manivannan Sivaperuman Kalairaj, Catherine Jiayi Cai, Hongliang Ren 0001 |
ICRA | 1 |
| 2018 | Estimation of Object Orientation Using Conductive Ink and Fabric Based Multilayered Tactile SensorabstractRobots, either made from hard or soft materials, are being used increasingly for unknown object manipulation tasks in unstructured environments. To hold an object firmly and do the required task, the orientation of the object with respect to the robotic hand gripper is one of the necessary key information. Humans can sense the orientation of an object based on vision, kinesthetic sensation, or touch sensation. Similarly, robots shall also be able to estimate grasped object orientation just based on tactile sensing without knowing manipulator kinesthetic or kinematics. Existing sensors are mostly based on vision or rigid inertial measurement units (such as accelerometers, gyroscopes, magnetometers), which require additional setup and are typically not compliant with the arbitrary surfaces of the unknown obj ects. This paper discusses a new approach for object orientation estimation from a multilayered tactile sensor based on conductive silver ink and conductive fabric. Fabric based sensors are flexible and can confer to both hard and soft surfaces. Experimental results show that the tactile sensor developed is able to estimate the tilt angle without any information about manipulator kinematics. Godwin Ponraj, Hongliang Ren 0001 |
ICRA | 1 |