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Lecheng Ruan

10 accepted papers

2026

B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators

ICRA 2026poster

B* is a novel optimization framework that addresses a critical challenge in fixed-base manipulator robotics: optimal base placement. Current methods rely on pre-computed kinematics databases generated through sampling to search for solutions. However, they face an inherent trade-off between solution…

2025

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs

ICLR 2025poster

Self-driving laboratories have begun to replace human experimenters in performing single experimental skills or predetermined experimental protocols. However, as the pace of idea iteration in scientific research has been intensified by Artificial Intelligence, the demand for rapid design of new prot…

Cited by 0SourcePDFScholar
2025

Targeted control of fast prototyping through domain-specific interface

ICML 2025poster

Industrial designers have long sought a natural and intuitive way to achieve the targeted control of prototype models---using simple natural language instructions to configure and adjust the models seamlessly according to their intentions, without relying on complex modeling commands. While Large La…

Cited by 0SourcePDFScholar
2024

AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints

ACL 2024long

Accurate representation of procedures in restricted scenarios, such as non-standardized scientific experiments, requires precise depiction of constraints. Unfortunately, Domain-specific Language (DSL), as an effective tool to express constraints structurally, often requires case-by-case hand-craftin…

Cited by 3SourcePDFScholar
2024

Expert-level protocol translation for self-driving labs

NeurIPS 2024poster

Recent development in Artificial Intelligence (AI) models has propelled their application in scientific discovery, but the validation and exploration of these discoveries require subsequent empirical experimentation. The concept of self-driving laboratories promises to automate and thus boost the ex…

Cited by 1SourcePDFScholar
2023

Compensating Aerodynamics of Over-Actuated Multi-Rotor Aerial Platform With Data-Driven Iterative Learning Control

RA-L 2023

The performance of over-actuated Unmanned Aerial Vehicles (UAVs) is significantly influenced by aerodynamic effects, as they are subject to different airflow conditions. For those aerodynamic effects that are difficult to model but could occur repeatedly, Iterative Learning Control (ILC) has great p

Cited by 16SourceScholar
2022

A Fast and Efficient Attitude Control Algorithm of a Tilt-Rotor Aerial Platform Using Inputs Redundancies

RA-L 2022

Overactuated multirotor unmanned aerial vehicles (UAVs) usually consist of multiple tiltable thrust actuators. The controllers are mostly designed by regarding the thrust forces and actuator tilting angles as inputs of outer-loop position and attitude controllers, while formulating an inner-loop con

Cited by 32SourceScholar
2021

An Over-Actuated Multi-Rotor Aerial Vehicle With Unconstrained Attitude Angles and High Thrust Efficiencies

RA-L 2021

Fully-actuated multi-rotor aerial platforms are receiving increasing research interests for the capability of six degree-of-freedom (DOF) motions such as hovering at non-horizontal attitude angles. Existing real world hardware and experiments have demonstrated such capability for a limited range of

Cited by 24SourceScholar
2021

Modeling and Balance Control of Supernumerary Robotic Limb for Overhead Tasks

RA-L 2021

Overhead manipulation tasks often require collaborations between two operators, which becomes challenging in confined spaces such as in a compartment. Supernumerary Robotic Limb (SuperLimb), as a promising wearable robotic solution, can provide assistance in terms of broader workspace, wider manipul

Cited by 44SourceScholar
2021

Nullspace-Based Control Allocation of Overactuated UAV Platforms

RA-L 2021

Multirotor copters with full six Degree of Freedom (DoF) maneuvering are often overactuated. The control allocation of overactuated UAV platforms can have an infinite number of solutions due to their redundancy. The most common allocation framework is based on Force Decomposition (FD), which provide

Cited by 47SourceScholar