SOCRATES is the Rutgers Robotics NRT (National Research Traineeship) awarded in September 2020. This program creates a new vehicle for graduate training and convergence research that integrates the technology domains of robotics with social and behavioral sciences, including psychology, cognitive science and urban policy planning.

Industrial Robot

Traditional Objectives

The traditional objective of robotics research has been to provide automated platforms that operate at high-speed, accurately and consistently, such as in the context of manufacturing systems.

Service Robot

Emerging Applications

From telepresence, transportation, elder-care, remote health care, cleaning, to warehouse logistics and delivery, robotics will bring significant changes in individuals' lives and profound social impact, especially relating to The Future of Work.

Social Robot

Modern Considerations

As robots are being deployed in a wider variety of domains, it becomes important to consider other aspects, such as safety, adaptability to human desires, and nuanced societal impacts.

Key Questions
  • What research can catalyze positive social impact with feasible advances in the state-of-the-art?
  • How can costly mistakes be avoided in robotics technology development and adaptation?
  • Current training does not equip researchers with the interdisciplinary tools, theories and perspectives necessary to answer such questions. The vision of SOCRATES is to fill this gap.
Program Focus

The SOCRATES program has a signature emphasis on the REAL challenge (Robotics for Everyday Living), training a new type of professional, the socially cognizant roboticist, through the convergence of:

  • Socially aware technologists who must be able to develop intelligent devices in ways that coordinate with existing human and social behavior
  • Technology-aware social scientists and policy-makers who can translate studies of robotics' social effects into actionable and technically-viable lessons

5th Annual Rutgers Robotics Workshop 2025

Faculty, Students and Industry Participants are invited to join us for this annual event as part of the NSF National Research Traineeship SOCRATES (Socially Cognizant Robotics for a Technology Enhanced Society) at Rutgers.

Event Details

This annual robotics workshop brings together faculty, students, and industry representatives featuring both internal and external speakers as well as a poster session for students to present their robotics research.

Workshop Agenda

8:30 - 9:00 Check-in
9:00 - 9:30 Introduction
9:30 - 10:30 Plenary Speaker, Dhruv Shah, Google DeepMind, UC Berkeley
10:30 - 10:45 Poster Spotlight Talks
10:45 - 11:45 Coffee break & Poster Session
11:45 - 12:30 SOCRATES Faculty Lightning Talks: Socially Cognizant Robotics in Action (Clinton Andrews, Kristin Dana, Kostas Bekris, Pernille Hemmer, Matthew Stone, Jacob Feldman)
12:30 - 1:30 Networking Lunch
1:30 - 2:30 Industry/Alumni Lightning Talks: AI in industry
2:30 - 3:30 Student Talks (NRT fellows/trainees)
3:30 - 4:00 Keynote Speaker, Gabriela Oana Cula, Janssen Pharmaceutical
4:00 - 4:15 Walkover to 1 Spring Street, Floor 3
4:15 - 5:00 Robot Demonstrations at PRACSYS Lab
5:00 - 5:30 Industry Consortium Discussion

Featured Speaker

Dr. Dhruv Shah

Dhruv Shah, PhD

Google DeepMind & Incoming Assistant Professor at Princeton University

"Evaluating and Improving Steerability of Generalist Robot Policies"

Bio

Dhruv Shah is a Senior Research Scientist at Google DeepMind and an incoming Assistant Professor at Princeton University. He recently obtained his PhD in EECS at UC Berkeley, where he was advised by Sergey Levine. His research spans the fields of machine learning and robotics, with the goal of building autonomous robots that can combine large-scale learning with real-world deployment. Dhruv is a Microsoft Future Leader in Robotics & AI (2024), Berkeley Fellow, and his research has been nominated for and won several Best Paper Awards at premier robotics conferences like RSS and ICRA. His work has also been featured in several media outlets, including IEEE Spectrum, TechXplore, and ZDNet, along with several international venues.

Abstract

General-purpose robot policies hold immense promise, yet they often struggle to generalize to novel scenarios, particularly struggling with grounding language in the physical world. In this talk, I will first propose a systematic taxonomy of robot generalization, providing a framework for understanding and evaluating current state-of-the-art generalist policies. This taxonomy highlights key limitations and areas for improvement. I will then discuss a simple idea for improving the steerability of these policies by improving language grounding in robotic manipulation and navigation. Finally, I will present our recent effort in applying these principles to scaling up generalist policy learning for dexterous manipulation.

Afternoon Keynote Speaker

Dr. Cula

Gabriela Oana Cula, PhD

Senior Director, Janssen Pharmaceutical

"Immunology Endpoints Using Artificial Intelligence (AI) & Computer Vision (CV)"

Bio

Oana currently is responsible for the integration of Data Science and Digital Health within the Therapeutic Area of Immunology. Her responsibilities include defining and prioritizing a portfolio of high-impact programs that utilize various imaging and digital health modalities relevant to specific indications, while leveraging Artificial Intelligence, Machine Learning, and Computer Vision solutions to generate valuable insights, enhance existing endpoints, develop novel endpoints, and improve clinical development processes. Previously, Oana held the position of Innovation Leader at Johnson & Johnson Consumer R&D - Upstream Innovation. In this role, she established groundbreaking capabilities aimed at delivering Intelligent Personalization through a strategic blend of Sensing, Behavior Understanding, and Data Science. Her work encompassed a wide array of product innovations, addressing areas such as skin health, baby care, oral health, and self-care solutions. Oana holds a PhD in Computer Vision from Rutgers University, along with MS and BSc degrees in Electrical Engineering from the Polytechnic University of Bucharest, Romania. Beyond her professional endeavors, Oana is a dedicated mother of three sons, an enthusiastic traveler, and a passionate art aficionado. She is also a skilled bronze welder, creating sculptural wearable objects and outdoor sculptures.

Special Session: Alumni in AI

Umama Ahmed

Applied AI Research Engineer, Norm AI

Encoding the Law: LLMs in Regulatory Systems

Sahir Ali

Founder, Modi Ventures

From Code to Cure

Wayne Chang

CEO, Spruce ID

Digital Identity - A Critical Building Block

Seth Karten

PhD Student, Princeton Computer Science Dept.

PokéChamp and the PokéAgent Challenge: A Testbed for Competitive and Autonomous LLM Agents

Elias Guseman

Senior Transportation Planner, Jersey City Dept of Infrastructure

Jersey City Robots: Experience with Sidewalk Delivery Bots

Matthew Purri

CTO & Co-founder, Octozi

From Spreadsheets to Agents: Fixing Clinical Data Workflows

Eun-Sol Kim

R&D Engineer, Nanotronics Brooklyn NY

AIPC: Making Semi-Automated Manufacturing Process Smart

Rahul Sheth

Co-founder & CEO, Texel AI

Lessons Learned from Working in the Generative Media Space

Niral Shah

Senior Machine Learning Engineer, Humane

Building AI Driven User Experiences