output
20172025
most citedProbing out-of-distribution generalization in machine learning for materials

63 citations

15 papers

eess.SY2025★ 3 cited

Control Barrier Functions for Shared Control and Vehicle Safety

James Dallas, John Talbot, Makoto Suminaka +4

This manuscript presents a control barrier function based approach to shared control for preventing a vehicle from entering the part of the state space where it is unrecoverable. T…

cs.HC2025★ 3 cited

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer

Hyeonsu Kang, David Chuan-en Lin, Yan-Ying Chen +3

We present BioSpark, a system for analogical innovation designed to act as a creativity partner in reducing the cognitive effort in finding, mapping, and creatively adapting divers…

cs.HC2025★ 28 cited

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro +3

With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to i…

cs.HC2024

DriveStats: a Mobile Platform to Frame Effective Sustainable Driving Displays

Song Mi Lee-Kan, Alexandre Filipowicz, Nayeli Bravo +2

Phone applications to track vehicle information have become more common place, providing insights into fuel consumption, vehicle status, and sustainable driving behaviorsHowever, t…

cs.HC2024★ 16 cited

Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices

Vikram Mohanty, Alexandre Filipowicz, Nayeli Bravo +2

From ride-hailing to car rentals, consumers are often presented with eco-friendly options. Beyond highlighting a "green" vehicle and CO2 emissions, CO2 equivalencies have been desi…

cs.HC2024★ 9 cited

On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments

Jingchao Fang, Nikos Arechiga, Keiichi Namaoshi +3

The Wizard of Oz (WoZ) method is a widely adopted research approach where a human Wizard ``role-plays'' a not readily available technology and interacts with participants to elicit…

cond-mat.mtrl-sci2024★ 63 cited

Probing out-of-distribution generalization in machine learning for materials

Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei +5

Scientific machine learning (ML) endeavors to develop generalizable models with broad applicability. However, the assessment of generalizability is often based on heuristics. Here,…

eess.SY2024★ 34 cited

Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks

Sangjae Bae, David Isele, Alireza Nakhaei +5

This paper presents an online smooth-path lane-change control framework. We focus on dense traffic where inter-vehicle space gaps are narrow, and cooperation with surrounding drive…

cs.RO2024

TEXterity -- Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity

Sangwoon Kim, Antonia Bronars, Parag Patre +1

We introduce a novel approach that combines tactile estimation and control for in-hand object manipulation. By integrating measurements from robot kinematics and an image-based tac…

physics.chem-ph2023★ 57 cited

De novo Design of Polymer Electrolytes with High Conductivity using GPT-based and Diffusion-based Generative Models

Zhenze Yang, Weike Ye, Xiangyun Lei +3

Solid polymer electrolytes hold significant promise as materials for next-generation batteries due to their superior safety performance, enhanced specific energy, and extended life…

cs.RO2023

The Teenager's Problem: Efficient Garment Decluttering as Probabilistic Set Cover

Aviv Adler, Ayah Ahmad, Yulei Qiu +9

This paper addresses the "Teenager's Problem": efficiently removing scattered garments from a planar surface into a basket. As grasping and transporting individual garments is high…

cs.CV2022★ 58 cited

DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation

Ivan Shugurov, Sergey Zakharov, Slobodan Ilic

We propose a three-stage 6 DoF object detection method called DPODv2 (Dense Pose Object Detector) that relies on dense correspondences. We combine a 2D object detector with a dense…

cs.RO2020★ 11 cited

RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch

Haruki Nishimura, Negar Mehr, Adrien Gaidon +1

Successful robotic operation in stochastic environments relies on accurate characterization of the underlying probability distributions, yet this is often imperfect due to limited…

cs.CV2020★ 10 cited

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

Bingbin Liu, Ehsan Adeli, Zhangjie Cao +4

Reasoning over visual data is a desirable capability for robotics and vision-based applications. Such reasoning enables forecasting of the next events or actions in videos. In rece…

cs.RO2017★ 1 cited

The Actuation-consistent Wrench Polytope (AWP) and the Feasible Wrench Polytope (FWP)

Romeo Orsolino, Michele Focchi, Carlos Mastalli +3

The motivation of our current research is to devise motion planners for legged locomotion that are able to exploit the robot's actuation capabilities. This means, when possible, to…