22 citations · 34 across the 23 of their papers we have counts for
17 papers · 1 filter
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…
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…
Stein Variational Ergodic Surface Coverage with SE(3) Constraints
Jiayun Li, Yufeng Jin, Sangli Teng +2
Surface manipulation tasks require robots to generate trajectories that comprehensively cover complex 3D surfaces while maintaining precise end-effector poses. Existing ergodic tra…
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…
Ego-Vision World Model for Humanoid Contact Planning
Hang Liu, Yuman Gao, Sangli Teng +5
Enabling humanoid robots to exploit physical contact, rather than simply avoid collisions, is crucial for autonomy in unstructured environments. Traditional optimization-based plan…
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng, Harry Zhang, David Jin +4
Designing optimal Bayes filters for nonlinear non-Gaussian systems is a challenging task. The main difficulties are: 1) representing complex beliefs, 2) handling non-Gaussian noise…
Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups
Sangli Teng, Tzu-Yuan Lin, William A Clark +2
Designing dynamically feasible trajectories for rigid bodies is a fundamental problem in robotics. Although direct trajectory optimization is widely applied to solve this problem,…
Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding
Hang Liu, Sangli Teng, Ben Liu +2
Hybrid dynamical systems, which include continuous flow and discrete mode switching, can model robotics tasks like legged robot locomotion. Model-based methods usually depend on pr…
Legged Robot State Estimation within Non-inertial Environments
Zijian He, Sangli Teng, Tzu-Yuan Lin +2
This paper investigates the robot state estimation problem within a non-inertial environment. The proposed state estimation approach relaxes the common assumption of static ground…
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng, Harry Zhang, David Jin +3
This paper develops a new filtering approach for state estimation in polynomial systems corrupted by arbitrary noise, which commonly arise in robotics. We first consider a batch se…
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation
Sangli Teng, Ashkan Jasour, Ram Vasudevan +1
This paper reports a novel result: with proper robot models on matrix Lie groups, one can formulate the kinodynamic motion planning problem for rigid body systems as \emph{exact} p…
Convex Geometric Trajectory Tracking using Lie Algebraic MPC for Autonomous Marine Vehicles
Junwoo Jang, Sangli Teng, Maani Ghaffari
Controlling marine vehicles in challenging environments is a complex task due to the presence of nonlinear hydrodynamics and uncertain external disturbances. Despite nonlinear mode…
Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer
Xihang Yu, Sangli Teng, Theodor Chakhachiro +7
This paper develops a novel slip estimator using the invariant observer design theory and Disturbance Observer (DOB). The proposed state estimator for mobile robots is fully propri…
Input Influence Matrix Design for MIMO Discrete-Time Ultra-Local Model
Sangli Teng, Amit K. Sanyal, Ram Vasudevan +2
Ultra-Local Models (ULM) have been applied to perform model-free control of nonlinear systems with unknown or partially known dynamics. Unfortunately, extending these methods to MI…
An Error-State Model Predictive Control on Connected Matrix Lie Groups for Legged Robot Control
Sangli Teng, Dianhao Chen, William Clark +1
This paper reports on a new error-state Model Predictive Control (MPC) approach to connected matrix Lie groups for robot control. The linearized tracking error dynamics and the lin…
Legged Robot State Estimation in Slippery Environments Using Invariant Extended Kalman Filter with Velocity Update
Sangli Teng, Mark Wilfried Mueller, Koushil Sreenath
This paper proposes a state estimator for legged robots operating in slippery environments. An Invariant Extended Kalman Filter (InEKF) is implemented to fuse inertial and velocity…
Toward Safety-Aware Informative Motion Planning for Legged Robots
Sangli Teng, Yukai Gong, Jessy W. Grizzle +1
This paper reports on developing an integrated framework for safety-aware informative motion planning suitable for legged robots. The information-gathering planner takes a dense st…