ll4ma Lab News Archive
2019
- December 17, 2019: Mark Van der Merwe was awarded Honorable Mention for the CRA Outstanding Undergraduate Researcher Award!
- December 16, 2019: Paper Accepted to RA-L Special Issue: Benchmarking Protocols for Robotic Manipulation, "Benchmarking In-Hand Manipulation"; Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, and Danica Kragic. arxiv/PDF
- November 1, 2019: Matthew Wilson's paper "Learning to Manipulate Object Collections Using Grounded State Representations" won the Best Systems Paper Award at CoRL 2019!
- October 31, 2019: Paper Accepted to Scientific Reports (Special Collection: Soft Sensors and Actuators): “3D-Printing and Machine Learning Control of Soft Ionic Polymer-Metal Composite Actuators”; James D. Carrico, Tucker Hermans, Kwang J. Kim, and Kam K. Leang.
- September 27, 2019: Tucker presented the RI Seminar at CMU. VIDEO
- September 11, 2019: Tucker presented the Georgia Tech IRIM Seminar. VIDEO
- September 7, 2019: Paper Accepted to CoRL 2019: “Learning to Manipulate Object Collections Using Grounded State Representations”; Matthew Wilson and Tucker Hermans. [PDF] [Project Page] [Video]
- August 26, 2019: Papers Accepted to Humanoids 2019:
- "Learning Task Constraints from Demonstration for Hybrid Force/Position Control"; Adam Conkey and Tucker Hermans.
- "Active Learning of Probabilistic Movement Primitives"; Adam Conkey and Tucker Hermans.
- June 13, 2019: Paper accepted to ASME Dynamic Systems and Control Conference (DSCC) “Assembly Planning using a Multi-arm System for Polygonal Furniture”; Seth Payne, C. Fletcher Garrison IV, Steven E. Markhan, Tucker Hermans, and Kam K Leang. PDF.
- April 30, 2019: Mark Van der Merwe received a UROP scholarship to work on his project “Grasp Planning in Clutter via Motion Planning Aware Optimization and 3D Object Reconstruction”.
- April 2019: Tucker Hermans received a Non-Tenured Faculty Award from 3M!
- March 24, 2019: Balakumar Sundaralingam's ICRA 2019 paper is a finalist for Best Paper in Robot Manipulation!
- March 15, 2019: Proposal Awarded: Tucker was awarded an NSF CAREER Award entitled “Improving Multi-fingered Manipulation by Unifying Learning and Planning.”
- January 25, 2019: Papers accepted to ICRA 2019:
- "Robust Learning of Tactile Force Estimation through Robot Interaction"; B. Sundaralingam, A. Lambert, A. Handa, B. Boots, T. Hermans, S. Brichfield, N. Ratliff and D. Fox.
- "Modeling Grasp Type Improves Learning-Based Grasp Planning"; Qingkai Lu and Tucker Hermans.
- January 3, 2019: Paper accepted to RA-L "Modeling Grasp Type Improves Learning-Based Grasp Planning"; Qingkai Lu and Tucker Hermans. PDF
2018
- December 17, 2018: Tucker gave a talk at NVIDIA Research, Seattle entitled “Improving Multi-fingered Robot Manipulation by Unifying Learning and Planning”
- May 22, 2018: Paper accepted to Autonomous Robots “Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation”; Balakumar Sundaralingam and Tucker Hermans. PDF; Publisher's Site.
- May, 2018: Matthew Wilson received a UROP scholarship to work on his project “Learning Tactile Feedback Policies with Guided Policy Search for Robotic Manipulation”.
- April 23, 2018: Paper accepted to IEEE Transactions on Haptics “Grip Stabilization of Novel Objects using Slip Prediction.”; Filipe Veiga, Jan Peters, and Tucker Hermans. PDF; Publisher's page.
- April 10, 2018: Tucker presented a talk following a screening of AlphaGo at the Salt Lake City Public library. Details available at the Natural History Museum of Utah website.
2017
- October 27, 2017: Tucker gave a talk at the University of Washington Robotics Colloquium entitled “Learning and Planning for Autonomous Multi-fingered Robot Manipulation”
- September 24, 2017: Tucker gave a talk at the IROS 2017 Workshop on Development of Benchmarking Protocols for Robotic Manipulation on Benchmarking for Within-Hand Manipulation
- September 4, 2017: Paper accepted to International Symposium on Robotics Research (ISRR) 2017 “Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network”; Qingkai Lu, Kautilya Chenna, Balakumar Sundaralingam, and Tucker Hermans; PDF.
- June 1, 2017: Katie Popek's ICRA Paper won the Best Medical Robotics Paper Award!
- April 2017: Paper accepted to RSS 2017: "Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization"; Balakumar Sundaralingam and Tucker Hermans. [Project page]
- April 2017: Katie Popek's ICRA 2017 paper is a finalist for Best Medical Robotics Paper!
- February 2017: Proposal Awarded: CRII: RI: Enabling Manipulation of Object Collections via Self-Supervised Robot Learning, Tucker Hermans (PI)
- 03/27–03/39/2017: Tucker attended the AAAI Spring Symposium on Interactive Multi-Sensory Object Perception for Embodied Agents
- 02/23/2017: Proposal Awarded: CRII: RI: Enabling Manipulation of Object Collections via Self-Supervised Robot Learning, Tucker Hermans (PI
- January 2017: Paper accepted to ICRA 2017: "First Demonstration of Simultaneous Localization and Propulsion of a Magnetic Capsule in a Lumen using a Single Rotating Magnet." Katie M. Popek, Tucker Hermans, and Jake J. Abbott
2016
- 10/12/2016: Tucker visited Idaho National Laboratory to view robots being used for handling of nuclear material at the DOE research facility; Host: Tony Crawford
- 08/7–08/09/2016: Tucker attended the New Computer Science Faculty Teaching Workshop at UCSD
- 07/01/2016: Paper accepted (Oral) to IROS 2016: “Active Tactile Object Exploration with Gaussian Processes.” Zhengkun Yi, Roberto Calandra, Herke van Hoof, Filipe Veiga, Tucker Hermans, Yilei Zhang, and Jan Peters.
- 01/11/2016: Tucker gave a Mechanical Engineering Graduate Seminar Talk at BYU on Visual and Tactile Learning for Manipulation
2015
- 11/03–11/05 2015: Tucker attended Humanoids 2015 in Seoul, Korea and presented two papers:
- “Learning Robot In-Hand Manipulation with Tactile Features,” Herke van Hoof, Tucker Hermans, Gerhard Neumann, and Jan Peters
- “Evaluation of Tactile Feature Extraction for Interactive Object Recognition,” Janine Hölscher, Jan Peters, and Tucker Hermans (ORAL)