Research Engineer
General Robotics
sarthak.bhagat@generalrobotics.company

News

• [Oct 25] Presenting at the NVIDIA GTC DC.
• [Sept 25] Presenting at the Scaleup Summit in SF.
• [Aug 25] Presenting NVIDIA DLI Training Session at SIGGRAPH’25 in Vancouver.
• [May 25] Received the best paper award at NoC Workshop, ICRA’25.
• [April 25] Selected to attend the Y Combinator Startup School.
• [March 25] Attending ICRA’25 in Atlanta presenting my work on action anticipation for tabletop manipulation.
• [Feb 25] Attending Nvidia GTC’25 in San Jose on March 17.
• [Aug 24] Serving as a Program Committee Member at AAAI’25.
• [July 24] Paper on zero-shot task-oriented grasping using LLMs accepted to IROS’24 as an oral presentation.
• [June 24] Joined Scaled Foundations as a Research Engineer working on building safe general robot intelligence.
• [June 24] Graduated with a Master’s in Robotics from Carnegie Mellon University.
• [June 24] Work on action anticipation for effective human-robot collaboration in manipulation tasks accepted to RA-L’24.
• [Dec 23] Serving as Reviewer for ICML’24, ICLR’24, and CoLLAs’24.
• [Sept 23] Presenting two papers in CVEU workshop at ICCV 2023 on action anticipation from videos and talking face generation.
• [Sept 23] Selected as a student volunteer for ICCV’23.
• [May 23] Selected among 200 young researchers to attend the HLF’23.
• [May 23] Work on Visual Concept Learning accepted in CoLLAs’23 as one of only 12 oral presentations.
• [Dec 22] Work on talking face generation won the Best Demo Paper award at ACM MM Asia’23.
• [Sept 22] Joined AART Lab, CMU – working on concept learning using domain knowledge priors and intent inference for human-robot collaboration.
• [Aug 22] Joined Master’s in Robotics Program at the Robotics Institute, CMU.
• [Jan 22] Joined Preimage as a Deep Learning Research Engineer – working on Sparse-view 3D Reconstruction.
• [Oct 20] Joined CLVR Lab, USC as a Visiting Researcher – working on continual skill learning and OOD adaptation in robotics.
• [Aug 20] Joined DeCLaRe Lab, SUTD as a Research Assistant – working on vision-language applications.
• [Aug 20] Graduated from IIIT-Delhi with Honors.
• [Aug 19] Received Dean’s Award for Excellent Academic Performance for 4 consecutive semesters.
• [Aug 19] Received Dean’s Award for Innovation, Research, and Development for Bachelor’s thesis.
• [May 19] Joined SUTD Brain Lab as a Visiting Researcher – working on disentangling video sequences using Gaussian process priors.
• [May 19] Received Indian National Academy of Engineering (INAE) Fellowship by IISc.
• [Aug 18] Placed 6th out of 70 International Teams: AUVSI SUAS, Maryland, USA.
• [Aug 16] Received Chairman’s Merit Scholarship (4 / 278).
• [May 15] Received KVPY Fellowship (awarded to top 0.3%).

Bio

Research Engineer, General Robotics

• 6th employee at the company and the first hire for the robotics team
• Led sim2real reinforcement learning (blog), technical customer engagements
• Led the integration of Isaac Sim into the GRID platform with 3,000+ active users (post)
• Worked on humanoids (blog), quads, manipulators, agents (blog)

Master's in Robotics, CMU

• Improving robotic perception and interaction through structured domain knowledge priors (thesis)
• Advised by Dr. Katia Sycara

Deep Learning Research Engineer, Preimage

• 3D vision for drone-based photogrammetry

CLVR Lab, USC

• Adaptation of policies to novel unseen environments, continual learning of skills
• Advised by Dr. Joseph Lim

SUTD Brain Lab

• Disentanglement of video sequences using Gaussian process priors (paper)

B.Tech (with honors), IIIT Delhi

• Unsupervised representation learning to disentangle multiple factors of variation in images (thesis)
• Advised by Dr. Saket Anand and Dr. Pavan Turaga
• Worked on target tracking using deep reinforcement learning (paper)
• Part of the autonomous driving team, ALIVE (demo)

Interesting in collaborating, advice, or chatting? Drop me an email at: sarthak.bhagat@generalrobotics.company.