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20132022
most citedGeoD: Consensus-based Geodesic Distributed Pose Graph Optimization

8 citations · 28 across the 19 of their papers we have counts for

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21 papers · 1 filter

cs.RO20221 cited

Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers

Rohan Chandra, Mingyu Wang, Mac Schwager +1

We present a novel approach for risk-aware planning with human agents in multi-agent traffic scenarios. Our approach takes into account the wide range of human driver behaviors on…

cs.RO2022

FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget

Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim +8

We present a method for autonomous exploration of large-scale unknown environments under mission time constraints. We start by proposing the Frontloaded Information Gain Orienteeri…

cs.RO20211 cited

TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation

Claire Chen, Preston Culbertson, Marion Lepert +2

Dexterous manipulation tasks often require contact switching, where fingers make and break contact with the object. We propose a method that plans trajectories for dexterous manipu…

cs.RO2021

Distributed Control of Truss Robots Using Consensus Alternating Direction Method of Multipliers

Nathan S. Usevitch, Trevor Halsted, Zachary M. Hammond +2

Truss robots, or robots that consist of extensible links connected at universal joints, are often designed with modular physical components but require centralized control techniqu…

cs.RO20211 cited

Reciprocal Multi-Robot Collision Avoidance with Asymmetric State Uncertainty

Kunal Shah, Guillermo Angeris, Mac Schwager

We present a general decentralized formulation for a large class of collision avoidance methods and show that all collision avoidance methods of this form are guaranteed to be coll…

cs.RO20211 cited

CoCo: Online Mixed-Integer Control via Supervised Learning

A. Cauligi, P. Culbertson, E. Schmerling +3

Many robotics problems, from robot motion planning to object manipulation, can be modeled as mixed-integer convex programs (MICPs). However, state-of-the-art algorithms are still u…