352 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Toyota Industries (United States)US15 papers
- Massachusetts Institute of TechnologyUS9 papers
- Stanford UniversityUS8 papers
- Toyota Motor Corporation (Switzerland)CH8 papers
- University of California, BerkeleyUS7 papers
- University of MichiganUS7 papers
- Carnegie Mellon UniversityUS5 papers
- Toyota Motor North America Research & Development (United States)US5 papers
- University of FreiburgDE5 papers
- Georgia Institute of TechnologyUS4 papers
- MIT Computer Science and Artificial Intelligence LaboratoryUS4 papers
- Technical University of MunichDE4 papers
22 papers · 1 filter
HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
Saeed Saadatnejad, Reyhaneh Hosseininejad, Jose Barreiros +2
The increasing labor shortage and aging population underline the need for assistive robots to support human care recipients. To enable safe and responsive assistance, robots requir…
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
Hossein Goli, Michael Gimelfarb, Nathan Samuel de Lara +3
Off-policy evaluation (OPE) estimates the performance of a target policy using offline data collected from a behavior policy, and is crucial in domains such as robotics or healthca…
A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration
Richard Cheng, Chavdar Papozov, Dan Helmick +1
Point cloud registration refers to the problem of finding the rigid transformation that aligns two given point clouds, and is crucial for many applications in robotics and computer…
TEXterity -- Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity
Sangwoon Kim, Antonia Bronars, Parag Patre +1
We introduce a novel approach that combines tactile estimation and control for in-hand object manipulation. By integrating measurements from robot kinematics and an image-based tac…
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
Max Bajracharya, James Borders, Richard Cheng +11
We present our general-purpose mobile manipulation system consisting of a custom robot platform and key algorithms spanning perception and planning. To extensively test the system…
The Teenager's Problem: Efficient Garment Decluttering as Probabilistic Set Cover
Aviv Adler, Ayah Ahmad, Yulei Qiu +9
This paper addresses the "Teenager's Problem": efficiently removing scattered garments from a planar surface into a basket. As grasping and transporting individual garments is high…
Variable compliance and geometry regulation of Soft-Bubble grippers with active pressure control
Sihah Joonhigh, Naveen Kuppuswamy, Andrew Beaulieu +2
While compliant grippers have become increasingly commonplace in robot manipulation, finding the right stiffness and geometry for grasping the widest variety of objects remains a k…
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
Haruki Nishimura, Negar Mehr, Adrien Gaidon +1
Successful robotic operation in stochastic environments relies on accurate characterization of the underlying probability distributions, yet this is often imperfect due to limited…
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction
Haruki Nishimura, Boris Ivanovic, Adrien Gaidon +2
This paper presents a novel online framework for safe crowd-robot interaction based on risk-sensitive stochastic optimal control, wherein the risk is modeled by the entropic risk m…
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro +4
Predicting driver intentions is a difficult and crucial task for advanced driver assistance systems. Traditional confidence measures on predictions often ignore the way predicted t…
Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
Igor Gilitschenski, Guy Rosman, Arjun Gupta +2
In this paper, we propose a novel approach for agent motion prediction in cluttered environments. One of the main challenges in predicting agent motion is accounting for location a…
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro +4
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant systems. While existing approaches may sample from a predicted distribution of vehicle…
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes
Max Bajracharya, James Borders, Dan Helmick +10
We describe a mobile manipulation hardware and software system capable of autonomously performing complex human-level tasks in real homes, after being taught the task with a single…
A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction
Alejandro M. Castro, Ante Qu, Naveen Kuppuswamy +2
Multibody simulation with frictional contact has been a challenging subject of research for the past thirty years. Rigid-body assumptions are commonly used to approximate the physi…
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue
Mayank Mittal, Rohit Mohan, Wolfram Burgard +1
Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-saving technology that can enable identification of survivors under collapsed buildings in the aftermath of natur…
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization
Bernardo Aceituno-Cabezas, Carlos Mastalli, Hongkai Dai +7
Traditional motion planning approaches for multi-legged locomotion divide the problem into several stages, such as contact search and trajectory generation. However, reasoning abou…
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Xin Huang, Stephen McGill, Brian C. Williams +2
Predicting the motion of a driver's vehicle is crucial for advanced driving systems, enabling detection of potential risks towards shared control between the driver and automation…
Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning
Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani +2
On-policy imitation learning algorithms such as DAgger evolve a robot control policy by executing it, measuring performance (loss), obtaining corrective feedback from a supervisor,…
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories
Wenshuo Wang, Aditya Ramesh, Ding Zhao
Multi-vehicle interaction behavior classification and analysis offer in-depth knowledge to make an efficient decision for autonomous vehicles. This paper aims to cluster a wide ran…
The Actuation-consistent Wrench Polytope (AWP) and the Feasible Wrench Polytope (FWP)
Romeo Orsolino, Michele Focchi, Carlos Mastalli +3
The motivation of our current research is to devise motion planners for legged locomotion that are able to exploit the robot's actuation capabilities. This means, when possible, to…
Application of Wrench based Feasibility Analysis to the Online Trajectory Optimization of Legged Robots
Romeo Orsolino, Michele Focchi, Carlos Mastalli +3
Motion planning in multi-contact scenarios has recently gathered interest within the legged robotics community, however actuator force/torque limits are rarely considered. We belie…