Demo Data from VLDB 2026 / reviewers in the wild / expert
Larry Vadakedathu
dblp:129/2722
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3Systems, architecture and hardware · 1Computer networks · 1
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
demand response |
0.2 | 1 | 2013 | Demo abstract: EnergyLab: building energy testbed for demand-response · IPSN 2013 |
Embedded and real-time systems › cyber-physical systems
building automation |
0.0 | 1 | 2013 | Demo abstract: EnergyLab: building energy testbed for demand-response · IPSN 2013 |
Embedded and real-time systems
cyber-physical systems |
0.0 | 1 | 2013 | Demo abstract: EnergyLab: building energy testbed for demand-response · IPSN 2013 |
Methods — techniques the papers use, named apart from their topics
lighting control · 0.3HVAC control · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Modular low-cost humanoid platform for disaster responseabstractDeveloping a reliable humanoid robot that operates in uncharted real-world environments is a huge challenge for both hardware and software. Commensurate with the technology hurdles, the amount of time and money required can also be prohibitive barriers. This paper describes Team THOR's approach to overcoming such barriers for the 2013 DARPA Robotics Challenge (DRC) Trials. We focused on forming modular components - in both hardware and software - to allow for efficient and cost effective parallel development. The robotic hardware consists of standardized and general purpose actuators and structural components. These allowed us to successfully build the robot from scratch in a very short development period, modify configurations easily and perform quick field repair. Our modular software framework consists of a hybrid locomotion controller, a hierarchical arm controller and a platform-independent operator interface. These modules helped us to keep up with hardware changes easily and to have multiple control options to suit various situations. We validated our approach at the DRC Trials where we fared very well against robots many times more expensive. Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Inyong Ha, Michael Rouleau, Dennis W. Hong, Daniel D. Lee |
IROS | 3 |
| 2014 | RoboCup 2014 Humanoid AdultSize League Winner
Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Hak Yi, Sanghyun Cho, Dennis W. Hong, Daniel D. Lee |
RoboCup | 4 |
| 2013 | Demo abstract: EnergyLab: building energy testbed for demand-responseabstractA building testbed for design and evaluation of energy efficient control and demand response strategies for real buildings is presented. The testbed is a scaled down model of a centralized Heating, Ventilation and Air Conditioning (HVAC) and lighting system. Sensing and control in the tesbed is achieved using the standard Building Automation and Control Network protocol. A MATLAB based front-end can be used to run and observe experiments. Madhur Behl, Neel D. Shah, Larry Vadakedathu, Dan Wheeler, Rahul Mangharam |
IPSN | 3 |
| 2013 | RoboCup 2013 Humanoid Kidsize League Winner
Daniel D. Lee, Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Samarth Brahmbhatt, Richa Agrawal, Vibhavari Dasagi |
RoboCup | 5 |