74 citations · 227 across the 87 of their papers we have counts for
92 papers
GINIO: A Geometric SO(3)-Equivariant Interface for Neural Inertial Odometry
Chankyo Kim, Minghan Zhu, Tzu-Yuan Lin +2
Neural inertial odometry increasingly uses networks as learned measurements inside filtering pipelines. Such measurements should transform consistently under arbitrary IMU mounting…
LapaTrack-3D: 6 DoF pre-operative shape tracking for laparoscopic surgery
Jingwei Song, Javid Hussain Jakir, Ray Zhang +4
This work proposes a real-time 6 Degree-of-Freedom (6 DoF) tracking algorithm for monocular laparoscopic surgery. It provides alignment between intra-operative video and pre-operat…
Cyclops: LiDAR as a Camera That Dreams in Color
Wei Gao, Jian Shu, Mingle Zhao +4
Conventionally, robotic perception relies heavily on cameras due to the rich semantic texture they provide. However, their performance degrades significantly in low-light or high-d…
A Replay-Constrained Simulation Framework for Personalization of Powered Knee--Ankle Prosthesis Controllers
Duong Le, Ryan Posh, Shihao Cheng +2
Personalization of impedance controllers for powered prosthetic legs is critical to accommodating individual gait biomechanics but remains challenging. Existing methods rely on tim…
NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation
Junzhe Wu, Yue Hu, Zeyu Han +4
Robots deployed in delivery, campus, and emergency-response settings often need to navigate from buildings to streets within a single continuous episode. Existing benchmarks usuall…
E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding
Chankyo Kim, Maani Ghaffari
3D Gaussian Splatting (3DGS) captures scenes by coupling explicit geometry (position, covariance) with view-dependent photometry (Spherical Harmonics). However, building $\mathrm{S…
Learning Adaptive Solvers for Distributed Factor Graph Optimization on Matrix Lie Groups
Jaeho Shin, Maani Ghaffari, Yulun Tian
Modern robotic perception increasingly involves large-scale geometric optimization problems distributed across multiple robots or sessions. However, existing distributed solvers of…
LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies
Sangli Teng, Ruiqi Zhang, Tzu-Yuan Lin +5
Designing dynamically feasible trajectories for rigid bodies is a fundamental problem in robotics. While direct methods are widely used, the existing constrained optimizers typical…
Max-Entropy Moment Filtering for Stochastic Hybrid Systems
Kaito Iwasaki, Tejaswi K. C., Anthony Bloch +2
Stochastic hybrid systems combine continuous-time stochastic dynamics with discrete reset events, producing intrinsically non-Gaussian and often multimodal uncertainty. A consisten…
The Score Kalman Filter
Kaito Iwasaki, Anthony Bloch, Taeyoung Lee +1
A central obstacle in nonlinear Bayesian filtering is representing the belief distribution. Moment-based filters address this by propagating polynomial moments and reconstructing a…
Distributed Pose Graph Optimization via Continuous Riemannian Dynamics
Jaeho Shin, Maani Ghaffari, Yulun Tian
We present a framework for distributed Pose Graph Optimization (PGO) by formulating the problem as a second-order continuous-time dynamical system evolving on Lie groups. By modeli…
LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations
Qixin Xiao, Maani Ghaffari
Learning predictive world models from visual observations is a core problem in embodied AI, with applications to model-based reinforcement learning and robotic planning. Existing l…
A Survey of Legged Robotics in Non-Inertial Environments: Past, Present, and Future
I-Chia Chang, Xinyan Huang, Tzu-Yuan Lin +5
Legged robots have demonstrated remarkable agility on rigid, stationary ground, but their locomotion reliability remains limited in non-inertial environments, where the supporting…
SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments
Jian Sun, Yuming Huang, He Li +6
Humans routinely leverage semantic hints provided by signage to navigate to destinations within novel Large-Scale Indoor (LSI) environments, such as hospitals and airport terminals…
Tensegrity Robot Endcap-Ground Contact Estimation with Symmetry-aware Heterogeneous Graph Neural Network
Wenzhe Tong, Yicheng Jiang, Chi Zhang +2
Tensegrity robots possess lightweight and resilient structures but present significant challenges for state estimation due to compliant and distributed ground contacts. This paper…
REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
Shuqi Xiao, Maani Ghaffari, Chengzhong Xu +1
Zero-shot object-goal navigation (ZSON) requires navigating unknown environments to find a target object without task-specific training. Prior hierarchical solutions mainly focus o…
MePoly: Max Entropy Polynomial Policy Optimization
Hang Liu, Sangli Teng, Maani Ghaffari
Stochastic Optimal Control provides a unified mathematical framework for solving complex decision-making problems, encompassing paradigms such as maximum entropy reinforcement lear…
LongNav-R1: Horizon-Adaptive Multi-Turn RL for Long-Horizon VLA Navigation
Yue Hu, Avery Xi, Qixin Xiao +4
This paper develops LongNav-R1, an end-to-end multi-turn reinforcement learning (RL) framework designed to optimize Visual-Language-Action (VLA) models for long-horizon navigation.…
Lies We Can Trust: Quantifying Action Uncertainty with Inaccurate Stochastic Dynamics through Conformalized Nonholonomic Lie groups
Luís Marques, Maani Ghaffari, Dmitry Berenson
We propose Conformal Lie-group Action Prediction Sets (CLAPS), a symmetry-aware conformal prediction-based algorithm that constructs, for a given action, a set guaranteed to contai…
Object Reconstruction under Occlusion with Generative Priors and Contact-induced Constraints
Minghan Zhu, Zhiyi Wang, Qihang Sun +2
Object geometry is key information for robot manipulation. Yet, object reconstruction is a challenging task because camera observations are partial due to occlusions. The scene may…
Topological Dynamics via Learned Hybrid Systems
Bernardo Rivas, Kaito Iwasaki, William Kalies +2
The analysis of global dynamics, particularly the identification and characterization of attractors and their regions of attraction, is essential for complex nonlinear and hybrid s…
Robust Trajectory Tracking of Autonomous Surface Vehicle via Lie Algebraic Online MPC
Yinan Dong, Ziyu Xu, Tsimafei Lazouski +2
Autonomous surface vehicles (ASVs) are influenced by environmental disturbances such as wind and waves, making accurate trajectory tracking a persistent challenge in dynamic marine…
Switching Network System Identification via Convex Optimizations
Kaito Iwasaki, Anthony Bloch, Maani Ghaffari
This paper introduces a convex optimization framework for identifying switched network systems, in which both the node dynamics and the underlying graph topology switch between a f…
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
Chankyo Kim, Sicheng Zhao, Minghan Zhu +2
Many scientific and geometric problems exhibit general linear symmetries, yet most equivariant neural networks are built for compact groups or simple vector features, limiting thei…