Robotics Colloquium

The Robotics Colloquium features talks by invited and local researchers on all aspects of robotics, including control, perception, machine learning, mechanical design and interaction. The colloquium is held Fridays between 1:30-2:30pm. Special seminars outside this schedule are indicated with * below. Check schedule below for location. Refreshments are served.

If you would like to give a talk in upcoming Robotics Colloquia, please contact Maya Cakmak (mcakmakatcs). If you would like to get regular email announcements and reminders about the robotics colloquium speakers, please sign up to the Robotics@UW mailing list.

 
Autumn 2017 Organizers: Dieter Fox, Maya Cakmak, Siddhartha S. Srinivasa, Kat Steele, Sam Burden
09/29/2017
MEB 238 (3:30 PM)
Michael Tolley
University of California San Diego
ME colloquium: Soft Robotics abstract
10/06/2017
CSE 305
Geoffrey A. Hollinger
Oregon State University
Marine Robotics: Planning, Decision Making, and Learning abstract
10/13/2017 DUB retreat
No talk
10/20/2017
CSE 305
Byron Boots
Georgia Institute of Technology
Learning Perception and Control for Agile Off-Road Autonomous Driving abstract
10/27/2017
CSE 691
Tucker Hermans
University of Utah
Learning and Planning for Autonomous Multi-fingered Robot Manipulation abstract
11/03/2017
CSE 305
Joydeep Biswas
University of Massachusetts Amherst
TBA abstract
11/10/2017 TBA
11/17/2017
CSE 691
Oren Salzman
Carnegie Mellon University
The Provable Virtue of Laziness in Motion Planning abstract
11/24/2017 Thanksgiving
No talk
12/01/2017 TBA
12/08/2017
TBA
Yigit Menguc
Oregon State University
TBA abstract
 
Spring 2017 Organizers: Aaron Walsman, Sam Burden, Maya Cakmak, Dieter Fox
03/31/2017
CSE 305
Richard Vaughan
Simon Fraser University
Simple, Robust Interaction Between Humans and Teams of Robots abstract
04/07/2017
CSE 691
Oussama Khatib
Stanford
Ocean One: A Robotic Avatar for Oceanic Discovery abstract
04/14/2017
CSE 305
Debadeepta Dey
Microsoft Research
Learning via Interaction for Machine Perception and Control abstract
04/21/2017
CSE 303 (11 AM)
Eric Eaton
University of Pennsylvania
Efficient Lifelong Machine Learning: an Online Multi-Task Learning Perspective abstract
04/21/2017
CSE 305
Katsu Ikeuchi
Microsoft Research
e-Intangible Heritage, from Dancing robots to Cyber Humanities abstract
04/28/2017
CSE 691
Henrik Christensen
UC San Diego
Object Based Mapping abstract
05/05/2017
CSE 305
Alberto Rodriguez
MIT
Reactive Robotic Manipulation abstract
05/12/2017
CSE 305
Charlie Kemp
Georgia Tech
Mobile Manipulators for Intelligent Physical Assistance abstract
05/19/2017
CSE 305
Karol Hausman
University of Southern California
Rethinking Perception-Action Loops abstract
05/26/2017
CSE 305
Silvia Ferrari
Cornell University
Neuromorphic Planning and Control of Insect-scale Robots abstract
06/02/2017
 
No Colloquium (ICRA)    
 
Winter 2017 Organizers: Sam Burden, Maya Cakmak, Dieter Fox
01/06/2017 No colloquium    
01/13/2017
 
Matt Rueben
Oregon State University
Privacy Sensitive Robotics abstract
01/20/2017
2:30-5:00pm
Frontiers of Science
Savery Hall 260
   
01/27/2017 Ross Hatton
Oregon State University
TBA abstract
02/03/2017 Avik De
University of Pennsylvania
TBA abstract
02/10/2017 TBA    
02/17/2017 Sonia Chernova
Georgia Institute of Technology
Reliable Robot Autonomy through Learning and Interaction abstract
02/24/2017 TBA    
03/03/2017 TBA    
03/10/2017 TBA    
 
Fall 2016 Organizers: Sam Burden, Maya Cakmak, Dieter Fox, Sawyer Fuller
10/07/2016
CSE 305
David Remy
University of Michigan
Gaits and Natural Dynamics in Robotic Legged Locomotion abstract
10/14/2016
 
IROS 2016 and DUB retreat
No talk
   
10/21/2016 Industry Affiliates Week
Check out talks and posters by robotics students
   
10/28/2016
CSE 305
Emo Todorov
University of Washington
Goal-directed Dynamics abstract
11/04/2016
CSE 305
Sean Andrist
Microsoft Research
Gaze Mechanisms for Situated Interaction with Embodied Agents abstract
11/11/2016
 
Veterans day
No talk
   
11/18/2016
CSE 305
Nick Roy
MIT
Planning to Fly (and Drive) Aggressively abstract
11/25/2016
 
Thanksgiving
No talk
   
12/02/2016
CSE 305
Shai Revzen
University of Michigan
TBD abstract
12/09/2016
CSE 305
Ashis Banerjee
University of Washington
TBD abstract
 
Spring 2016 Organizers: Justin Huang, Leah Perlmutter, Dieter Fox, and Maya Cakmak
4/1/16
CSE 305
Tomás Lozano-Pérez
MIT
Integrated task and motion planning in belief space abstract
4/8/16
CSE 305
Henny Admoni
CMU / Yale
Recognizing Human Intent for Assistive Robotics abstract
4/11/16
CSE 305
Wolfram Burgard
University of Frieburg
Deep Learning for Robot Navigation and Perception abstract
4/22/16
CSE 305
Travis Deyle
Cobalt Robotics
RFID-Enhanced Robots Enable New Applications in Healthcare, Asset Tracking, and Remote Sensing abstract
5/6/16
CSE 305
Brian Scassellati
Yale
Robots That Teach abstract
5/13/16
CSE 305
Sarah Elliott, Mohammad Haghighipanah, Vikash Kumar, Yangming Li, Muneaki Miyasaka, Leah Perlmutter, Luis Puig, and Yuyin Sun
University of Washington
ICRA 2016 Practice Talks abstract
6/3/16
CSE 305
Sidd Srinivasa
CMU
Physics-based Manipulation abstract
*6/10/16
CSE 403
3:30 pm
Ashish Kapoor
Microsoft Research
Planetary Scale Swarm Sensing, Planning and Control for Weather Prediction abstract
 
Winter 2016 Organizers: Kendall Lowrey, Patrick Lancaster, and Dieter Fox
3/11/16
CSE 305
Daniel Butler
UW CSE
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration abstract
3/04/16
CSE 305
James Youngquist
UW CSE
DeepMPC: Learning Deep Latent Features for Model Predictive Control abstract
2/26/16
CSE 305
Justin Huang
UW CSE
Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free abstract
2/19/16
EEB 303
Daniel Gordon
UW CSE
Deep Neural Decision Forests abstract
2/12/16
CSE 305
Harley Montgomery
UW CSE
End-to-End Training of Deep Visuomotor Policies abstract
2/5/16
CSE 305
Aaron Walsman
UW CSE
Mastering the game of Go with deep neural networks and tree search abstract
1/29/16
CSE 305
Zachary Nehrenberg
UW CSE
Real-Time Trajectory Generation for Quadrocopters abstract
1/29/16
CSE 305
Patrick Lancaster
UW CSE
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks abstract
1/22/16
CSE 305
Tanner Schmidt
UW CSE
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression abstract
1/15/16
CSE 305
Kendall Lowrey
UW CSE
Combining the benefits of function approximation and trajectory optimization abstract
1/15/16
CSE 305
Vladimir Korukov
UW CSE
Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping abstract
 
Fall 2015 Organizers: Tanner Schmidt and Dieter Fox
10/9/15
CSE 305
Dan Bohus
Microsoft Research
Physically Situated Dialog: Opportunities and Challenges abstract
10/16/15
CSE 305
Sawyer Fuller
UW
Aerial autonomy at insect scale: What flying insects can tell us about robotics and vice versa abstract
10/23/15
Kane Hall 110
Russ Tedrake
MIT
From Polynomials to Humanoid Robots
Part of the MathAcrossCampus Colloquium Series
abstract
10/30/15
CSE 305
Frank Dellaert
Skydio
Factor Graphs for Flexible Inference in Robotics and Vision abstract
11/6/15
CSE 305
Student Research Lightning Talks    
11/13/15
CSE 305
Louis-Philippe Morency
CMU
Modeling Human Communication Dynamics abstract
11/20/15
CSE 305
Tom Whelan
Oculus Research
Real-time dense methods for 3D perception abstract
11/27/15
CSE 305
Thanksgiving
No talk
   
12/4/15
CSE 305
Seth Hutchinson
UIUC
Robust Distributed Control Policies for Multi-Robot Systems abstract
12/11/15
CSE 305
Dmitry Berenson
WPI
Toward General-Purpose Manipulation of Deformable Objects abstract
 
Spring 2015 Organizers: Connor Schenck, Maya Cakmak, Dieter Fox
04/17/15
CSE 303
Neil Lebeck and Natalie Brace
UW CSE
Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor abstract
04/24/15
CSE 303
Peter Henry
UW CSE
LSD-SLAM: Large-Scale Direct Monocular SLAM abstract
05/01/15
CSE 303
Dan Butler
UW CSE
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments abstract
05/07/15
CSE 303
Marc Deisenroth
Imperial College, London
Statistical Machine Learning for Autonomous Systems and Robots abstract
05/15/15
CSE 303
Arunkumar Byravan and Kendall Lowrey
UW CSE
Reinforcement Learning in Robotics: A Survey abstract
05/22/15   ICRA practice talks. abstracts
05/29/15 No Colloquium Colloquium cancelled for ICRA 2015.  
06/05/15
CSE 303
Jim Youngquist
UW CSE
A Strictly Convex Hull for Computing Proximity Distances With Continuous Gradients abstract
 
Winter 2015 Organizers: Connor Schenck, Maya Cakmak, Dieter Fox
01/14/15
CSE 305
Mike Chung
UW CSE
Accelerating Imitation Learning through Crowdsourcing abstract
  Tanner Schmidt
UW CSE
Dense Articulated Real-Time Tracking abstract
01/23/15
CSE 305
Discussion Amazon Picking Challenge <
01/30/15 No colloquium    
02/06/15
CSE 305
Joseph Xu
UW CSE
Design and Control of an Anthropomorphic Robotic Hand: Learning Advantages From the Human Body & Brain abstract
  Vikash Kumar
UW CSE
Dimensionality Augmentation: A tool towards synthesizing complex and expressive behaviors abstract
02/13/15
CSE 305
Sofia Alexandrova
UW CSE
RoboFlow: A Flow-based Visual Programming Language for Mobile Manipulation Tasks abstract
02/20/15
CSE 305
Igor Mordatch
UW CSE
Synthesis of Interactive Control for Diverse Complex Characters with Neural Networks abstract
02/27/15
CSE 305
Richard Newcombe
UW CSE
DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time abstract
03/06/15
CSE 691
Aaron Steinfeld
Carnegie Mellon University
Understanding and Creating Appropriate Robot Behavior abstract
03/13/15
CSE 305
Luis Puig
UW CSE
Overview of Omnidirectional Vision abstract
 
Autumn 2014 Organizers: Vikash Kumar, Maya Cakmak, Dieter Fox
10/03/14
CSE 305
Danny Kaufman
Adobe Creative Technologies Lab, Seattle
Geometric Algorithms for Computing Frictionally Contacting Systems abstract
10/10/14
EE 037
Dubi Katz & Michael Abrash
Oculus VR
VR, the future, and you abstract
10/17/14
CSE 503
3:30pm
Kira Mourao
PostDoc, Institute for Language, Cognition and Computation, University of Edinburgh
What happens if I push this button? Learning planning operators from experience abstract
10/24/14
CSE 305
Sam Burden
PostDoc, University of California, Berkeley
Hybrid Models for Dynamic and Dexterous Robots abstract
*10/29/14 (Wed)
HUB 250
12:30pm
Bilge Mutlu
University of Wisconsin, Madison
Human-Centered Principles and Methods for Designing Robotic Technologies
(Joint with DUB seminar, lunch will be served at 12:00)
abstract
10/31/14
CSE 305
Sergey Levine
PostDoc, University of California, Berkeley
Learning to Move: Machine Learning for Robotics and Animation abstract
11/07/14 No talk    
11/14/14 Sachin Patil
PostDoc, University of California, Berkeley
Coping with Uncertainty in Robotic Navigation and Manipulation abstract
11/21/14
Gates Commons
3:00pm
HRI Mini Symposium
HRI 2015 Program committee members
   
11/28/14 No talk, Thanksgiving Break    
12/05/14
CSE 305
Marianna Madry
Royal Institute of Technology (KTH), Sweden
Representing Objects in Robotics from Visual, Depth and Tactile Sensing abstract
*12/18/14 (Thu)
CSE 305
11:00am
Scott Niekum
Carnegie Mellon University
Structure Discovery in Robotics with Demonstrations and Active Learning abstract
Winter 2014, Organizer: Maya Cakmak
01/17/14
CSE 403
Byron Boots
UW CSE
Learning Better Models of Dynamical Systems abstract
01/24/14
CSE 403
Julie Shah
MIT
Integrating Robots into Team-Oriented Environments abstract
01/31/14
CSE 403
Ryan Calo
UW Law
Robotics & The New Cyberlaw abstract
02/07/14
CSE 403
James McLurkin
Rice University
Distributed Algorithms for Robot Recovery, Multi-Robot Triangulation, and Advanced Low-Cost Robots abstract
02/14/14   Cancelled  
02/21/14
CSE 403
Mihai Jalobeanu
Microsoft Research
Towards ubiquitous robots abstract
02/28/14
CSE 403
Cynthia Matuszek
UW CSE
Talking to Robots: Learning to Ground Human Language in Perception and Execution abstract
03/07/14   Cancelled  
03/14/14
CSE 403
Peter H. Kahn, Jr.
UW Psychology
Social and Moral Relationships with Robots abstract
03/21/14
Gates Commons
Gur Kimchi
Amazon
Amazon Prime Air abstract
Autumn 2013, Organizer: Maya Cakmak
10/11/13
MGH 241
Ashutosh Saxena
Cornell University
How should a robot perceive the world?
(Joint with Machine Learning)
abstract
10/18/13   UW/MSR Machine Learning day  
10/25/13
CSE 403
Kat Steele
University of Washington, Mechanical Engineering
Strategies for understanding and improving movement disorders abstract
11/01/13
CSE 403
Maya Cakmak
University of Washington, CSE
Towards seamless human-robot hand-overs abstract
*11/07/13 (Thu)
CSE 403
2:30-3:20pm
Ross A. Knepper
MIT
Autonomous Assembly In a Human World abstract
*11/08/13
CSE 403
12-1pm
Brian Ziebart
University of Illinois, Chicago
Beyond Conditionals: Structured Prediction for Interacting Processes
(Lunch will be served)
abstract
11/08/13
Gates Commons
Jenay Beer
University of South Carolina
Considerations for Designing Assistive Robotics to Promote Aging-in-Place abstract
11/15/13
CSE 403
Dinei Florencio
Microsoft Research
Navigation for telepresence robots and some thoughts on robot learning abstract
11/22/13
CSE 403
Andrzej Pronobis
University of Washington, CSE
Semantic Knowledge in Mobile Robotics: Perception, Reasoning, Communication and Actions abstract
12/06/13
Gates Commons
Steve Cousins
Savioke, Inc. & Willow Garage, Inc.
It's Time for Service Robots
(Joint with CSNE)
abstract
Spring 2013, Organizers: Cynthia Matuszek, Dieter Fox
04/5/13 Dieter Fox
Cynthia Matuszek
PechaKucha 20x20 for Robotics abstract
04/12/13 No talk    
04/19/13 Robotics Students & Staff PechaKucha-style Robotics Research Overviews abstract
04/26/13 Pete Wurman
Special Wednesday Colloquium, CSE 203
Coordinating Hundreds of Autonomous Vehicles in Warehouses
abstract
04/26/13 Matt Mason Learning to Use Simple Hands abstract
05/03/13 Nadia Shouraboura Canceled  
05/10/13 No talk (ICRA)
05/17/13 Tom Daniel Control and Dynamics of Animal Flight: Reverse Engineering Nature's Robots abstract
05/24/13 Katherine Kuchenbecker The Value of Tactile Sensations in Haptics and Robotics abstract
05/31/13 Pieter Abbeel Machine Learning and Optimization for Robotics abstract
06/07/13 Nick Roy Canceled  
Winter 2013, Organizer: Dieter Fox
01/18/13 Robotics and State
Estimation Lab
Overview of RSE Lab Research
01/25/13 Joshua Smith Robotics Research in the Sensor Systems Group abstract
02/01/13 no talk    
02/08/13 Gaurav Sukhatme Persistent Autonomy at Sea abstract
02/15/13 Jiri Najemnik Sequence Optimization in Engineering, Artificial Intelligence and Biology abstract
02/22/13 no talk    
03/01/13 Richard Newcombe Beyond Point Clouds: Adventures in Real-time Dense SLAM abstract
03/08/13 Tom Erez Model-Based Optimization for Intelligent Robot Control abstract
03/15/13 Byron Boots Spectral Approaches to Learning Dynamical Systems abstract
Spring 2012, Organizer: Dieter Fox
3/30/12 Andrea Thomaz Designing Learning Interactions for Robots abstract
4/6/12 Javier Movellan Towards a New Science of Learning abstract
4/13/12 Emanuel Todorov Automatic Synthesis of Complex Behaviors with Optimal Control abstract
4/20/12 Andrew Barto Autonomous Robot Acquisition of Transferable Skills abstract
4/27/12 Dieter Fox Grounding Natural Language in Robot Control Systems abstract
5/4/12 Allison Okamura Robot-Assisted Needle Steering abstract
5/11/12 Blake Hannaford Click the Scalpel -- Better Patient Outcomes by Advancing Robotics in Surgery abstract
5/18/12 no talk  
5/25/12 Malcolm MacIver Robotic Electrolocation abstract
6/1/12 Drew Bagnell Imitation Learning, Inverse Optimal Control and Purposeful Prediction abstract
 
DETAILED SCHEDULE FOR AUTUMN 2017
10/06/2017
CSE 305
Geoffrey A. Hollinger
Oregon State University
Marine Robotics: Planning, Decision Making, and Learning
Abstract: Underwater gliders, propeller-driven submersibles, and other marine robots are increasingly being tasked with gathering information (e.g., in environmental monitoring, offshore inspection, and coastal surveillance scenarios). However, in most of these scenarios, human operators must carefully plan the mission to ensure completion of the task. Strict human oversight not only makes such deployments expensive and time consuming but also makes some tasks impossible due to the requirement for heavy cognitive loads or reliable communication between the operator and the vehicle. We can mitigate these limitations by making the robotic information gatherers semi-autonomous, where the human provides high-level input to the system and the vehicle fills in the details on how to execute the plan. These capabilities increase the tolerance for operator neglect, reduce deployment cost, and open up new domains for information gathering. In this talk, I will show how a general framework that unifies information theoretic optimization and physical motion planning makes semi-autonomous information gathering feasible in marine environments. I will leverage techniques from stochastic motion planning, adaptive decision making, and deep learning to provide scalable solutions in a diverse set of applications such as underwater inspection, ocean search, and ecological monitoring. The techniques discussed here make it possible for autonomous marine robots to “go where no one has gone before,” allowing for information gathering in environments previously outside the reach of human divers.

Speaker’s Bio: Geoffrey A. Hollinger is an Assistant Professor in the School of Mechanical, Industrial & Manufacturing Engineering at Oregon State University. His current research interests are in adaptive information gathering, distributed coordination, and learning for autonomous robotic systems. He has previously held research positions at the University of Southern California, Intel Research Pittsburgh, University of Pennsylvania’s GRASP Laboratory, and NASA's Marshall Space Flight Center. He received his Ph.D. (2010) and M.S. (2007) in Robotics from Carnegie Mellon University and his B.S. in General Engineering along with his B.A. in Philosophy from Swarthmore College (2005). He is a recent recipient of the 2017 Office of Naval Research Young Investigator Program (YIP) award.
10/20/2017
CSE 305
Byron Boots
Georgia Institute of Technology
Learning Perception and Control for Agile Off-Road Autonomous Driving
Abstract: The main goal of this talk is to illustrate how machine learning can start to address some of the fundamental perceptual and control challenges involved in building intelligent robots. I’ll start by introducing a new high speed autonomous “rally car” platform built at Georgia Tech, and discuss an off-road racing task that requires impressive sensing, speed, and agility to complete. I will discuss two approaches to this problem, one based on model predictive control and one based on learning deep policies that directly map images to actions. Along the way I’ll introduce new tools from reinforcement learning, imitation learning, and online learning and show how theoretical insights help us to overcome some of the practical challenges involved in learning on a real-world platform. I will conclude by discussing ongoing work in my lab related to machine learning for robotics.

Speaker’s Bio: Byron Boots is an Assistant Professor in the College of Computing at Georgia Tech. He directs the Georgia Tech Robot Learning Lab, affiliated with the Center for Machine Learning and the Institute for Robotics and Intelligent Machines. Byron’s research focuses on development of theory and systems that tightly integrate perception, learning, and control. He received his Ph.D. in Machine Learning from Carnegie Mellon University and held a postdoctoral research position in Computer Science and Engineering at the University of Washington. His research has won several awards including Best Paper at ICML in 2010 and finalist for Best Paper at ICRA in 2017.
10/27/2017
CSE 691
Tucker Hermans
University of Utah
Learning and Planning for Autonomous Multi-fingered Robot Manipulation
Abstract: For autonomous robots to act as assistants in homes, offices, and other locations of daily life, they must be able to fluently manipulate objects designed for use by humans. Multi-fingered and anthropomorphic robotic hands have been designed to be well suited for manipulating such objects. In this talk I will present results from several recent studies examining different aspects of the autonomous multi-fingered manipulation problem. The methods presented will use both machine learning and motion planning using both visual and tactile perception.

I will first present two methods, one learning-based the other planning-based, for the task of in-hand manipulation, where a robot must move a grasped object to a new position using only the dexterity available in its fingers. I will then present a novel deep neural-network approach to planning multi-fingered grasps for previously unseen objects. Our novel neural-network architecture enables the robot to autonomously perform motion planning inside the neural network, as a form of probabilistic inference.

Speaker’s Bio: Tucker Hermans is an assistant professor in the School of Computing at the University of Utah, where he is member of the University of Utah Robotics Center. Previously, he was a postdoctoral researcher in the Intelligent Autonomous Systems lab at TU Darmstadt in Darmstadt, Germany. There he worked with Jan Peters on tactile manipulation and robot learning, while serving as the team leader at TUDa for the European Commission project TACMAN. Professor Hermans was at Georgia Tech from 2009 to 2014 in the School of Interactive Computing. There he earned his Ph.D. in Robotics under the supervision of Aaron Bobick and Jim Rehg in the Computational Perception Laboratory. His dissertation research dealt with robots learning to discover and manipulate previously unknown objects. At Georgia Tech he also earned a M.Sc. in Computer Science with specialization in Computational Perception and Robotics. He earned his A.B. in German and Computer Science from Bowdoin College in 2009.
11/03/2017
CSE 305
Joydeep Biswas
University of Massachusetts Amherst
TBA
Abstract: TBA

Speaker’s Bio: TBA
11/17/2017
CSE 691
Oren Salzman
Carnegie Mellon University
The Provable Virtue of Laziness in Motion Planning
Abstract: Laziness is defines as "the quality of being unwilling to work". It is a common approach used in many algorithms (and by many graduate students) where work, or computation, is delayed until absolutely necessary. In the context of motion planning, this idea has been frequently used to reduce the computational cost of testing if a robot collides with obstacles, an operation that governs the running time of many motion-planning algorithms. In this talk I will describe and analyze several algorithms that use this simple, yet effective idea, to dramatically improve over the state-of-the-art. A by-product of lazily performing collision detection is a shift in the computational weight in motion-planning algorithms from collision detection to nearest-neighbor search or to graph search. This induces new challenges which I will also address in my talk---Can we employ application-specific nearest-neighbor data structures tailored for lazy motion-planning algorithms? Do we need to be completely lazy (with respect to collision detection) or should we balance laziness with, say graph operations?

The talk is based on collaboration with Dan Halperin, Michal Kleinbort, Siddhartha Srinivasa, Aditya Vamsikrishna, Ariel Procaccia, Nika Haghtalab and Simon Mackenzie.

Speaker’s Bio: Oren Salzman completed his PhD in the School of Computer Science at Tel Aviv University, under the supervision of Prof. Dan Halperin. He is currently a postdoctoral researcher at Carnegie Mellon University working with Siddhartha Srinivasa and Maxim Likhachev. His research focus is robot motion planning. Specifically, his research focuses on revisiting classical computer science algorithms, tools and paradigms to address the computational challenges that arise when planning motions for real-world robots. Combining techniques from diverse domains such as computational geometry, surface simplification, random geometric graphs, graph theory and machine learning, he strives to provide efficient algorithms with rigorous analysis for robot systems with many degrees of freedom moving in tight quarters. He earned his BSc with honors from the Technion and his MSc with honors from Tel Aviv University.
12/08/2017
Yigit Menguc
Oregon State University
TBA
Abstract: TBA

Speaker’s Bio: TBA

Details of previous Robotics Colloquia can be found here.