Ruwan Wickramarachchi

Research Scientist @Bosch_AI, @BoschUSA | Ph.D. #AIISC @UofSC | Neurosymbolic AI | Hybrid Modeling | Robotics | Autonomous Systems

[Kaiyuan Eric Chen ✈️RSS🇦🇺 @keplerccccc]

Graph-as-Policy (GaP) is a new variant of Agentic Robotics from @NVIDIA and @UCBerkeley that builds computation graphs (like ROS) to ensure modularity, manage complexity, and facilitate interpretability.
🧵Open code and paper: https://t.co/4UfdBh3DQK
#Robotics #Automation #AgenticAI #EmbodiedAI

[Ruwan Wickramarachchi @ruwantw]

Very happy to be part of this effort. Graph-as-Policy (GaP), an agentic harness for robot learning, introduces the Variational Automation (VA) task class and eight open VA benchmarks, with a focus on complex industrial automation tasks.

[Ken Goldberg @Ken_Goldberg]

Very excited about GaP’s potential to increase throughput and support near-term robotics applications. Hats off to team led by brilliant postdocs Eric Chen and Shuangyu Xie and superb colleagues from @BoschGlobal and @NVIDIARobotics.

[Ponnurangam Kumaraguru “PK” @ponguru]

🎉🎊 Our work 📜 Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting accepted @coling2025 ! W/ @IwThilini @ruwantw @vnnm404 @VinijaJain @i_amanchadha @amitava_santu @amit_p #Coling2025

📜: https://t.co/2CiTequLEd
🧵

[Ruwan Wickramarachchi @ruwantw]

AI Podcast: https://t.co/QcXj5jZlmR

[Ruwan Wickramarachchi @ruwantw]

Check out our latest article introducing DSceneKG, a suite of knowledge graphs built from real-world, multi-modal driving scene data, and its applications across multiple Neurosymbolic AI tasks.
#NeurosymbolicAI #KnowledgeGraphs #DrivingScenes #AutonomousDriving

[Artificial Intelligence Papers @SciFi]

Knowledge Graphs of Driving Scenes to Empower the Emerging Capabilities of Neurosymbolic AI. https://t.co/rTtyD8ZTku

[Amit Sheth @amit_p]

A comprehensive survey on rare event prediction https://t.co/Jx3VOdWe99

[Alan Morrison @AlanMorrison]

Put together a list for folks like me who are interested in Neurosymbolic (neural net + knowledge representation/logic) AI and broader reasoning capabilities than the current crop of LLMs and stable diffusion models seem to evidenc…https://t.co/cwPKR3Au1B https://t.co/meeM8NHMjB

[Ruwan Wickramarachchi @ruwantw]

Our upcoming #ACL2023 Findings paper on "ANALOGICAL - A New Benchmark for Analogy of Long Text for Large Language Models": https://t.co/SaHC4LPPWz

#ACL2023 #NLProc #Analogy

[cs.CL Papers @arxiv_cs_cl]

https://t.co/xZlRlZolx0 ANALOGICAL - A New Benchmark for Analogy of Long Text for Large Language Models. (arXiv:2305.05050v1 [https://t.co/HW5RVw4UkE]) #NLProc

[Ugur Kursuncu @UgurKursuncu]

Join my group to work on compelling real-world problems.
Yes, not late to apply!

I am accepting PhD students w/ curious minds and an interest in understanding human behavior, building models w/ ML/DL, NLP, and KG.

Drop me a DM if interested!
Please spread the word!

1/2 👇

[Amit Sheth @amit_p]

@GaryMarcus @tdietterich @billyperrigo We have created an open source dataset on toxic behavior in the USA under approved IRB without using any sweatshop or subjecting humans to psychologically punishing tasks: see the #1 publication at: https://t.co/WJ7bBCguUo

[Tim Finin @timFinin]

I gave ChatGPT questions from my Knowledge Graph class midterm. It always seemed to understand them and gave confident answers with well-formed explanations, but about half were wrong. Still impressive considering it never came to class. #ChatGPT #AI #LLM #NLP #knowledgeGraph

[Ruwan Wickramarachchi @ruwantw]

Check out our recent paper on the proposition of using knowledge graphs and entity prediction to improve machine perception in autonomous systems. #NeurosymbolicAI #AutonomousDriving #Industry40 #KEP

[IEEE Intelligent Systems @ieeeintelligent]

Interested in exploring knowledge-based entity prediction to improve machine perception in autonomous systems? Check out the article “Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems” at https://t.co/vibyjzto95

[IEEE Intelligent Systems @ieeeintelligent]

Interested in exploring knowledge-based entity prediction to improve machine perception in autonomous systems? Check out the article “Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems” at https://t.co/vibyjzto95

[Ruwan Wickramarachchi @ruwantw]

The tutorial program can be found here: https://t.co/J0i2bSvGTF

[Ruwan Wickramarachchi @ruwantw]

Interested in using knowledge graphs, neuro-symbolic AI, and their applications within autonomous driving?

Consider attending our tutorial on "Knowledge-infused Learning for Autonomous Driving (#KL4AD)" at #ISWC2022 on Monday, 24th October, from 08:00 - 11:30 EST.

[Ryan Delk @delk]

Seeing the future collide with the present is so fun.

[DeepAI @DeepAI]

Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems
https://t.co/cnb6VN89zc
by @ruwantw et al.
#MachineLearning #ComputerVision

[Ruwan Wickramarachchi @ruwantw]

Our recent paper on #KnowledgeInfusedLearning for entity prediction in #autonomousdriving scenes.

[Frontiers in AI & Big Data @FrontAIBigData]

New Research: Knowledge-infused Learning for Entity Prediction in Driving Scenes https://t.co/DMXTaYL2Ry #BigData

[Amit Sheth @amit_p]

Exciting talk by @coryhenson on Knowledge-infused Learning and Autonomous Vehicles:
#KiL2021
#KGC2021
#AIIsC https://t.co/VzzB8rVOow

[Amit Sheth @amit_p]

We are #hiring. Know anyone who might be interested?
Background: https://t.co/UM9AlMT4N4
https://t.co/dzv8tJOU0d
Details, and where to apply: https://t.co/IqMh8DiW3l
[ advanced analysis of sensor data using deep learning methods and synthetic control; n…https://t.co/wptYdThY0w