5 citations · 5 across the 4 of their papers we have counts for
6 papers
Metacognitive Steering: Learning the Structure of Scientific Judgment
Vincent Karpf, Joseph Reth, Eike Gerhardt +5
Long-horizon scientific discovery requires agents to alternate between exploration, disciplined execution, and critical reassessment as evidence changes. Current language models ar…
Design Optimization for Large High-Force Soft Robot Manipulators Under Gravitational Loads
Isara Cholaseuk, Penelope Llibre, Alexa Kyriacou +5
Designing large soft robots capable of generating high forces for physical human-robot interaction remains a significant challenge in soft robotics. Prior work in large soft robots…
Mi-Memory: A Lifecycle Memory Framework for Personal AI
Xule Liu, Hanlin Teng, Chao Li +15
Personal AI is moving beyond chat-only interaction toward continuous services that span phones, cars, homes, wearables, cameras, and tools. In this setting, memory cannot remain a…
Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters
Matthew Ho, Brian Liu, Jixuan Chen +2
Configuring an advanced scientific simulator, translating a modeling goal into a valid, runnable input deck, is a persistent bottleneck that costs domain scientists hours to days.…
Agentic AI for Self-Driving Laboratories in Soft Matter: Taxonomy, Benchmarks,and Open Challenges
Xuanzhou Chen, Audrey Wang, Stanley Yin +2
Self-driving laboratories (SDLs) close the loop between experiment design, automated execution, and data-driven decision making, and they provide a demanding testbed for agentic AI…
Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions
Akua K. Dickson, Juan C. Pacheco Garcia, Meredith L. Anderson +6
Robots built from soft materials will inherently apply lower environmental forces than their rigid counterparts, and therefore may be more suitable in sensitive settings with unint…