26 citations · 38 across the 11 of their papers we have counts for
12 papers
RoboAtlas: Contextual Active SLAM
Alexander Schperberg, Shivam K. Panda, Abraham P. Vinod +4
We present RoboAtlas, a contextual Active SLAM framework that adaptively balances geometric exploration and semantic reasoning using a scalable 3D semantic mapping system, OpenRobo…
Safe Whole-Body Loco-Manipulation via Combined Model and Learning-based Control
Alexander Schperberg, Yeping Wang, Stefano Di Cairano
Simultaneous locomotion and manipulation enables robots to interact with their environment beyond the constraints of a fixed base. However, coordinating legged locomotion with arm…
MOBIUS: A Multi-Modal Bipedal Robot that can Walk, Crawl, Climb, and Roll
Alexander Schperberg, Yusuke Tanaka, Stefano Di Cairano +1
This paper presents the MOBIUS platform, a bipedal robot capable of walking, crawling, climbing, and rolling. MOBIUS features four limbs, two 6-DoF arms with two-finger grippers fo…
OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering
Alexander Schperberg, Yusuke Tanaka, Saviz Mowlavi +3
State estimation for legged robots is challenging due to their highly dynamic motion and limitations imposed by sensor accuracy. By integrating Kalman filtering, optimization, and…
SCALER: Versatile Multi-Limbed Robot for Free-Climbing in Extreme Terrains
Yusuke Tanaka, Yuki Shirai, Alexander Schperberg +2
This paper presents SCALER, a versatile free-climbing multi-limbed robot that is designed to achieve tightly coupled simultaneous locomotion and dexterous grasping. While existing…
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter
Alexander Schperberg, Yusuke Tanaka, Feng Xu +2
Achieving highly accurate dynamic or simulator models that are close to the real robot can facilitate model-based controls (e.g., model predictive control or linear-quadradic regul…
SCALER: A Tough Versatile Quadruped Free-Climber Robot
Yusuke Tanaka, Yuki Shirai, Xuan Lin +5
This paper introduces SCALER, a quadrupedal robot that demonstrates climbing on bouldering walls, overhangs, ceilings and trotting on the ground. SCALER is one of the first high-de…
Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots
Yuki Shirai, Xuan Lin, Alexander Schperberg +4
While motion planning of locomotion for legged robots has shown great success, motion planning for legged robots with dexterous multi-finger grasping is not mature yet. We present…
Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion
Xuan Lin, Feng Xu, Alexander Schperberg +1
Convex model predictive controls (MPCs) with a single rigid body model have demonstrated strong performance on real legged robots. However, convex MPCs are limited by their assumpt…
Adaptive Force Controller for Contact-Rich Robotic Systems using an Unscented Kalman Filter
Alexander Schperberg, Yuki Shirai, Xuan Lin +2
In multi-point contact systems, precise force control is crucial for achieving stable and safe interactions between robots and their environment. Thus, we demonstrate an admittance…
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots
Alexander Schperberg, Stephanie Tsuei, Stefano Soatto +1
We present an end-to-end online motion planning framework that uses a data-driven approach to navigate a heterogeneous robot team towards a global goal while avoiding obstacles in…
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance
Alexander Schperberg, Kenny Chen, Stephanie Tsuei +5
In this paper, we propose an online path planning architecture that extends the model predictive control (MPC) formulation to consider future location uncertainties for safer navig…